Artificial intelligence based vision transformer application for grading histopathological images of oral epithelial dysplasia: a step towards AI-driven diagnosis.

Автори: Hadilou M; Research Center for Prevention of Oral and Dental Diseases, Baqiyatallah University of Medical Sciences, Tehran, Iran., Mahdavi N; Department of Oral and Maxillofacial Pathology, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran., Keykha E; Research Center for Prevention of Oral and Dental Diseases, School of Dentistry, Baqiyatallah University of Medical Sciences, Tehran, Iran. Dr.keykha@chmail.ir., Ghofrani A; Student Research Committee, Baqiyatallah University of Medical Sciences, Tehran, Iran., Tahmasebi E; Research Center for Prevention of Oral and Dental Diseases, School of Dentistry, Baqiyatallah University of Medical Sciences, Tehran, Iran., Arabfard M; Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.

Джерело: BMC cancer [BMC Cancer] 2025 Apr 25; Vol. 25 (1), pp. 780. Date of Electronic Publication: 2025 Apr 25.

Тип публікації: Journal Article

Інформація про журнал: Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Artificial Intelligence* , Mouth Neoplasms*/pathology , Mouth Neoplasms*/diagnosis , Mouth Mucosa*/pathology , Image Processing, Computer-Assisted*/methods , Precancerous Conditions*/pathology, Humans ; Neural Networks, Computer ; Deep Learning ; Neoplasm Grading/methods ; Algorithms ; Image Interpretation, Computer-Assisted/methods

Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models.

Автори: Liu Z; School of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang, China., Gao A; School of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang, China., Sheng H; Department of Radiology, Yantaishan Hospital, Yantai, Shandong, China., Wang X; Department of Radiology, Yantaishan Hospital, Yantai, Shandong, China.

Джерело: PloS one [PLoS One] 2025 Jan 28; Vol. 20 (1), pp. e0318264. Date of Electronic Publication: 2025 Jan 28 (Print Publication: 2025).

Тип публікації: Journal Article

Інформація про журнал: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Diabetic Retinopathy*/diagnostic imaging , Diabetic Retinopathy*/diagnosis , Fundus Oculi* , Neural Networks, Computer* , Image Processing, Computer-Assisted*/methods, Humans ; Deep Learning ; Algorithms ; Image Interpretation, Computer-Assisted/methods

Outlier detection of clustered functional data with image and signal processing applications by archetype analysis.

Автори: Alcacer A; Department of Mathematics, Universitat Jaume I, Castelló, Spain., Epifanio I; Department of Mathematics, Universitat Jaume I, Castelló, Spain.; ValgrAI - Valencian Graduate School and Research Network of Artificial Intelligence, Valencia, Spain.

Джерело: PloS one [PLoS One] 2024 Nov 25; Vol. 19 (11), pp. e0311418. Date of Electronic Publication: 2024 Nov 25 (Print Publication: 2024).

Тип публікації: Journal Article

Інформація про журнал: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Image Processing, Computer-Assisted*/methods, Humans ; Cluster Analysis ; Signal Processing, Computer-Assisted ; Algorithms ; Multivariate Analysis

Advances in the development and application of non-contact intraoperative image access systems.

Автори: Liu Z; Chinese PLA Medical School, Beijing, China., Li C; Department of Thoracic Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing, China., Lin J; Department of Thoracic Surgery, Hainan Hospital of the General Hospital of the People's Liberation Army of China, Sanya, China., Xu H; Department of Thoracic Surgery, Hainan Hospital of the General Hospital of the People's Liberation Army of China, Sanya, China., Xu Y; Chinese PLA Medical School, Beijing, China., Nan H; Chinese PLA Medical School, Beijing, China., Cheng W; Chinese PLA Medical School, Beijing, China., Li J; Department of Thoracic Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing, China. 13801010576@163.com., Wang B; Department of Thoracic Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing, China. banxy0119@163.com.

Джерело: Biomedical engineering online [Biomed Eng Online] 2024 Oct 30; Vol. 23 (1), pp. 108. Date of Electronic Publication: 2024 Oct 30.

Тип публікації: Journal Article; Review

Інформація про журнал: Publisher: BioMed Central Country of Publication: England NLM ID: 101147518 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-925X (Electronic) Linking ISSN: 1475925X NLM ISO Abbreviation: Biomed Eng Online Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Surgery, Computer-Assisted*/instrumentation, Humans ; Operating Rooms ; Image Processing, Computer-Assisted/methods ; Intraoperative Period

Enhancing deep learning pre-trained networks on diabetic retinopathy fundus photographs with SLIC-G.

Автори: Lim WX; Faculty of Science and Engineering, School of Computer Science, University of Nottingham Malaysia, Semenyih, Malaysia., Chen Z; Faculty of Science and Engineering, School of Computer Science, University of Nottingham Malaysia, Semenyih, Malaysia. zhiyuan.chen@nottingham.edu.my.

Джерело: Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Aug; Vol. 62 (8), pp. 2571-2583. Date of Electronic Publication: 2024 Apr 23.

Тип публікації: Journal Article

Інформація про журнал: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Diabetic Retinopathy*/diagnostic imaging , Diabetic Retinopathy*/pathology , Deep Learning* , Fundus Oculi* , Image Processing, Computer-Assisted*/methods, Humans ; Algorithms ; Neural Networks, Computer ; Photography/methods ; Image Interpretation, Computer-Assisted/methods ; Normal Distribution

Deep-learning-based segmentation using individual patient data on prostate cancer radiation therapy.

Автори: Jeong S; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea., Cheon W; Department of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Kim S; Department of Radiation Oncology, Samsung Medical Center, Seoul, Korea., Park W; Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea., Han Y; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.; Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Джерело: PloS one [PLoS One] 2024 Jul 31; Vol. 19 (7), pp. e0308181. Date of Electronic Publication: 2024 Jul 31 (Print Publication: 2024).

Тип публікації: Journal Article

Інформація про журнал: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Prostatic Neoplasms*/radiotherapy , Prostatic Neoplasms*/diagnostic imaging , Deep Learning* , Tomography, X-Ray Computed*/methods , Radiotherapy Planning, Computer-Assisted*/methods, Humans ; Male ; Image Processing, Computer-Assisted/methods ; Organs at Risk ; Urinary Bladder/diagnostic imaging ; Prostate/diagnostic imaging ; Prostate/pathology

Structure-aware independently trained multi-scale registration network for cardiac images.

Автори: Chang Q; School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China., Wang Y; School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China. shremail@sina.com.

Джерело: Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Jun; Vol. 62 (6), pp. 1795-1808. Date of Electronic Publication: 2024 Feb 21.

Тип публікації: Journal Article

Інформація про журнал: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Heart*/diagnostic imaging , Heart*/anatomy & histology , Image Processing, Computer-Assisted*/methods, Humans ; Algorithms ; Neural Networks, Computer ; Image Interpretation, Computer-Assisted/methods ; Databases, Factual

Computer-based quantitative image texture analysis using multi-collinearity diagnosis in chest X-ray images.

Автори: Quintero-Rincón A; Department of Data Science, Data Science and AI Laboratory, Catholic University of Argentina (UCA), Buenos Aires, Argentina.; Department of Computer Sciences, Catholic University of Argentina (UCA), Buenos Aires, Argentina., Di-Pasquale R; Department of Data Science, Data Science and AI Laboratory, Catholic University of Argentina (UCA), Buenos Aires, Argentina., Quintero-Rodríguez K; 'Prof. Dr. Juan P. Garrahan' Pediatric Hospital, Medical Image Department, Buenos Aires, Argentina., Batatia H; MACS School, Heriot-Watt University, Dubai, United Arab Emirates.

Джерело: PloS one [PLoS One] 2025 Apr 14; Vol. 20 (4), pp. e0320706. Date of Electronic Publication: 2025 Apr 14 (Print Publication: 2025).

Тип публікації: Journal Article

Інформація про журнал: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): COVID-19*/diagnostic imaging , Radiography, Thoracic*/methods , Image Processing, Computer-Assisted*/methods , Radiographic Image Interpretation, Computer-Assisted*/methods, Humans ; Algorithms ; SARS-CoV-2 ; Lung/diagnostic imaging

10-year follow-up results of the initial application of 3D-printed percutaneous guides in drilled decompression of femoral head necrosis.

Автори: Li S; Department of Orthopedics, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China., Wang J; Department of Orthopaedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China., Zhang Q; Department of Orthopedics, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China. zhangqiang202212@163.com.

Джерело: BMC musculoskeletal disorders [BMC Musculoskelet Disord] 2025 Apr 10; Vol. 26 (1), pp. 354. Date of Electronic Publication: 2025 Apr 10.

Тип публікації: Journal Article

Інформація про журнал: Publisher: BioMed Central Country of Publication: England NLM ID: 100968565 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2474 (Electronic) Linking ISSN: 14712474 NLM ISO Abbreviation: BMC Musculoskelet Disord Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Printing, Three-Dimensional* , Femur Head Necrosis*/surgery , Femur Head Necrosis*/diagnostic imaging , Decompression, Surgical*/methods , Decompression, Surgical*/instrumentation , Surgery, Computer-Assisted*/methods , Surgery, Computer-Assisted*/instrumentation, Humans ; Retrospective Studies ; Male ; Female ; Middle Aged ; Follow-Up Studies ; Adult ; Fluoroscopy ; Treatment Outcome ; Operative Time ; Aged ; Feasibility Studies

A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images.

Автори: Khan MA; Department of Computer Science and Engineering, College of Computer Engineering and Science, Prince Mohammad Bin Fahd University, Al-Khobar, KSA, Kingdom of Saudi Arabia. attique.khan@ieee.org., Shafiq U; Department of Computer Science, HITEC University, Taxila, Pakistan., Hamza A; Centre of Real Time Computer Systems, Kaunas University of Technology (KTU), Kaunas, Lithuania., Mirza AM; Department of Computer Science and Engineering, College of Computer Engineering and Science, Prince Mohammad Bin Fahd University, Al-Khobar, KSA, Kingdom of Saudi Arabia., Baili J; Department of Computer Engineering, College of Computer Science, King Khalid University, Abha, 61413, Saudi Arabia., AlHammadi DA; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh, 11671, Saudi Arabia., Cho HC; HYU Center for Computational Social Science, Hanyang University, Seoul, South Korea., Chang B; Department of Computer Science, Hanynag University, seoul, 01000, Korea, Republic of (South Korea). bcchang@hanyang.ac.kr.

Джерело: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Mar 31; Vol. 25 (1), pp. 150. Date of Electronic Publication: 2025 Mar 31.

Тип публікації: Journal Article

Інформація про журнал: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Capsule Endoscopy*/methods , Deep Learning* , Neural Networks, Computer* , Gastrointestinal Neoplasms*/diagnostic imaging , Gastrointestinal Neoplasms*/classification , Gastrointestinal Neoplasms*/diagnosis , Image Interpretation, Computer-Assisted*/methods , Diagnosis, Computer-Assisted*/methods, Humans ; Bayes Theorem

Development and validation of computer-aided detection for colorectal neoplasms using deep learning incorporated with computed tomography colonography.

Автори: Endo S; Department of Coloproctology, Aizu Medical Center, Fukushima Medical University, Aizuwakamatsu City, Japan. endoswing@gmail.com., Nagata K; Department of Gastroenterology, Fukushima Medical University, Fukushima City, Japan., Utano K; Department of Radiology, Aizu Medical Center, Fukushima Medical University, Aizuwakamatsu City, Japan., Nozu S; Department of Diagnostic Radiology, Saitama Prefectual Cancer Center, Ina-machi, Japan., Yasuda T; Department of Radiology, Nagasaki Kamigoto Hospital, Shin Kamigoto-cho, Nagasaki, Japan., Takabayashi K; Department of Radiology, Tonan Hospital, Sapporo City, Japan., Hirayama M; Department of Gastroenterology, Tonan Hospital, Sapporo City, Japan., Togashi K; Department of Coloproctology, Aizu Medical Center, Fukushima Medical University, Aizuwakamatsu City, Japan., Ohira H; Department of Gastroenterology, Fukushima Medical University, Fukushima City, Japan.

Джерело: BMC gastroenterology [BMC Gastroenterol] 2025 Mar 08; Vol. 25 (1), pp. 149. Date of Electronic Publication: 2025 Mar 08.

Тип публікації: Journal Article; Validation Study; Multicenter Study

Інформація про журнал: Publisher: BioMed Central Country of Publication: England NLM ID: 100968547 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-230X (Electronic) Linking ISSN: 1471230X NLM ISO Abbreviation: BMC Gastroenterol Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Deep Learning* , Colorectal Neoplasms*/diagnostic imaging , Colorectal Neoplasms*/pathology , Colonography, Computed Tomographic*/methods , Diagnosis, Computer-Assisted*/methods , Radiographic Image Interpretation, Computer-Assisted*/methods, Humans ; Male ; Female ; Middle Aged ; Aged ; Sensitivity and Specificity ; Neural Networks, Computer ; Early Detection of Cancer/methods

Development and precision evaluation of a robotic system for oral implant surgery using personalized digital guides and optical spatial positioning technology.

Автори: Tian H; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China., Yin Y; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China., Zhang X; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China., Tan J; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China., Liu J; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China.

Джерело: PloS one [PLoS One] 2025 Apr 29; Vol. 20 (4), pp. e0319054. Date of Electronic Publication: 2025 Apr 29 (Print Publication: 2025).

Тип публікації: Journal Article

Інформація про журнал: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Robotic Surgical Procedures*/methods , Robotic Surgical Procedures*/instrumentation , Dental Implants* , Robotics* , Surgery, Computer-Assisted*/methods , Surgery, Computer-Assisted*/instrumentation, Humans ; Calibration

Computer-navigated, stereotactic navigation for percutaneous radiofrequency ablation of osteoid osteomas: dose comparison and procedure times.

Автори: Schmidli C; Departement Für Diagnostische, Interventionelle und Pädiatrische Radiologie, Inselspital, University Hospital Bern, University of Bern, Freiburgstrasse 10, 3010, Bern, Switzerland. chiara.giancamilli@outlook.com., Mosler F; Departement Für Diagnostische, Interventionelle und Pädiatrische Radiologie, Inselspital, University Hospital Bern, University of Bern, Freiburgstrasse 10, 3010, Bern, Switzerland., Bower DV; QuadraticMed LLC, Blegistrasse 7, 6340, Baar, Switzerland., Nöldge G; Departement Für Diagnostische, Interventionelle und Pädiatrische Radiologie, Inselspital, University Hospital Bern, University of Bern, Freiburgstrasse 10, 3010, Bern, Switzerland., Heverhagen J; Departement Für Diagnostische, Interventionelle und Pädiatrische Radiologie, Inselspital, University Hospital Bern, University of Bern, Freiburgstrasse 10, 3010, Bern, Switzerland., Mertineit N; Departement Für Diagnostische, Interventionelle und Pädiatrische Radiologie, Inselspital, University Hospital Bern, University of Bern, Freiburgstrasse 10, 3010, Bern, Switzerland.; Institut für Medizinische Radiologie, Bürgerspital Solothurn, Schöngrünstrasse 42, 4500, Solothurn, Switzerland.

Джерело: BMC musculoskeletal disorders [BMC Musculoskelet Disord] 2025 Apr 29; Vol. 26 (1), pp. 420. Date of Electronic Publication: 2025 Apr 29.

Тип публікації: Journal Article; Comparative Study

Інформація про журнал: Publisher: BioMed Central Country of Publication: England NLM ID: 100968565 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2474 (Electronic) Linking ISSN: 14712474 NLM ISO Abbreviation: BMC Musculoskelet Disord Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Osteoma, Osteoid*/surgery , Osteoma, Osteoid*/diagnostic imaging , Bone Neoplasms*/surgery , Bone Neoplasms*/diagnostic imaging , Surgery, Computer-Assisted*/methods , Surgery, Computer-Assisted*/adverse effects , Radiofrequency Ablation*/methods , Radiofrequency Ablation*/adverse effects , Stereotaxic Techniques* , Operative Time*, Humans ; Retrospective Studies ; Female ; Male ; Adult ; Young Adult ; Adolescent ; Middle Aged ; Radiation Dosage ; Tomography, X-Ray Computed ; Child ; Imaging, Three-Dimensional ; Treatment Outcome

Multicentre, real-world data of next-generation computer-assisted vacuum aspiration thrombectomy in acute pulmonary embolism.

Автори: Sławek-Szmyt S; 1st Department of Cardiology, Poznan University of Medical Sciences, Poznan, Poland. s.slawekszmyt@gmail.com., Stępniewski J; Department of Cardiac and Vascular Diseases, Jagiellonian University Medical College, John Paul II Hospital, Krakow, Poland.; Department of Medical Education, Jagiellonian University Medical College, Krakow, Poland., Kurzyna M; Department of Pulmonary Circulation, Thromboembolic Diseases and Cardiology European Health Centre Otwock, Medical Centre for Postgraduate Education, Otwock, Poland., Klaudel J; Department of Cardiology, St. Adalbert's Hospital, Gdansk, Poland., Kuliczkowski W; Department of Cardiology, Wroclaw Medical University, Wroclaw, Poland., Lewandowski M; Clinic of Cardiology, Pomeranian Medical University, Szczecin, Poland., Grabka M; 1st Department of Cardiology, Silesian Medical University, Upper Silesian Medical Centre, Katowice, Poland., Roik M; Department and Faculty of Cardiology, Medical University of Warsaw, Warsaw, Poland., Ordiene R; Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania., Jankiewicz S; 1st Department of Cardiology, Poznan University of Medical Sciences, Poznan, Poland., Kopeć G; Department of Cardiac and Vascular Diseases, Jagiellonian University Medical College, John Paul II Hospital, Krakow, Poland., Darocha S; Department of Pulmonary Circulation, Thromboembolic Diseases and Cardiology European Health Centre Otwock, Medical Centre for Postgraduate Education, Otwock, Poland., Mroczek E; Department of Cardiology, Wroclaw Medical University, Wroclaw, Poland., Widecka K; Clinic of Cardiology, Pomeranian Medical University, Szczecin, Poland., Kurzyna P; Department of Pulmonary Circulation, Thromboembolic Diseases and Cardiology European Health Centre Otwock, Medical Centre for Postgraduate Education, Otwock, Poland., Lesiak M; 1st Department of Cardiology, Poznan University of Medical Sciences, Poznan, Poland., Pruszczyk P; Department and Faculty of Cardiology, Medical University of Warsaw, Warsaw, Poland., Araszkiewicz A; 1st Department of Cardiology, Poznan University of Medical Sciences, Poznan, Poland.

Джерело: Respiratory research [Respir Res] 2025 Mar 05; Vol. 26 (1), pp. 87. Date of Electronic Publication: 2025 Mar 05.

Тип публікації: Journal Article; Multicenter Study

Інформація про журнал: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 101090633 Publication Model: Electronic Cited Medium: Internet ISSN: 1465-993X (Electronic) Linking ISSN: 14659921 NLM ISO Abbreviation: Respir Res Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Pulmonary Embolism*/surgery , Pulmonary Embolism*/mortality , Pulmonary Embolism*/diagnosis , Pulmonary Embolism*/physiopathology , Pulmonary Embolism*/diagnostic imaging , Thrombectomy*/methods , Thrombectomy*/trends , Surgery, Computer-Assisted*/methods , Surgery, Computer-Assisted*/trends, Humans ; Female ; Male ; Middle Aged ; Aged ; Prospective Studies ; Registries ; Treatment Outcome ; Acute Disease ; Vacuum ; Aged, 80 and over

Bridging the Clinical-Computational Transparency Gap in Digital Pathology.

Автори: Gu Q; From the Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (Gu, Patel, Garcia, Zarella, McClintock, Hart)., Patel A; From the Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (Gu, Patel, Garcia, Zarella, McClintock, Hart)., Hanna MG; the Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York (Hanna)., Lennerz JK; the Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston (Lennerz)., Garcia C; From the Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (Gu, Patel, Garcia, Zarella, McClintock, Hart)., Zarella M; From the Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (Gu, Patel, Garcia, Zarella, McClintock, Hart)., McClintock D; From the Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (Gu, Patel, Garcia, Zarella, McClintock, Hart)., Hart SN; From the Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (Gu, Patel, Garcia, Zarella, McClintock, Hart).

Джерело: Archives of pathology & laboratory medicine [Arch Pathol Lab Med] 2025 Mar 01; Vol. 149 (3), pp. 276-287.

Тип публікації: Journal Article

Інформація про журнал: Publisher: College of American Pathologists Country of Publication: United States NLM ID: 7607091 Publication Model: Print Cited Medium: Internet ISSN: 1543-2165 (Electronic) Linking ISSN: 00039985 NLM ISO Abbreviation: Arch Pathol Lab Med Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Pathology, Clinical*/methods , Pathology, Clinical*/standards , Diagnosis, Computer-Assisted*/methods , Diagnosis, Computer-Assisted*/standards, Humans ; Algorithms ; Machine Learning ; Pathologists

GAN-based medical image small region forgery detection via a two-stage cascade framework.

Автори: Zhang J; Beijing Electronic Science and Technology Institute, Beijing, China.; University of Louisiana at Lafayette, Lafayette, Louisiana, United States of America., Huang X; Beijing Electronic Science and Technology Institute, Beijing, China., Liu Y; Beijing Electronic Science and Technology Institute, Beijing, China., Han Y; Beijing Electronic Science and Technology Institute, Beijing, China., Xiang Z; Beijing Electronic Science and Technology Institute, Beijing, China.

Джерело: PloS one [PLoS One] 2024 Jan 02; Vol. 19 (1), pp. e0290303. Date of Electronic Publication: 2024 Jan 02 (Print Publication: 2024).

Тип публікації: Journal Article

Інформація про журнал: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Diagnosis, Computer-Assisted* , Lung Neoplasms*/diagnostic imaging, Humans ; Tomography, X-Ray Computed ; Uncertainty ; Image Processing, Computer-Assisted

ACU-TransNet: Attention and convolution-augmented UNet-transformer network for polyp segmentation.

Автори: Huang L; State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China.; College of Computer Science and Technology, Guizhou University, Guiyang, China., Wu Y; State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China.; College of Computer Science and Technology, Guizhou University, Guiyang, China.

Джерело: Journal of X-ray science and technology [J Xray Sci Technol] 2024; Vol. 32 (6), pp. 1449-1464.

Тип публікації: Journal Article

Інформація про журнал: Publisher: SAGE Publications Country of Publication: Netherlands NLM ID: 9000080 Publication Model: Print Cited Medium: Internet ISSN: 1095-9114 (Electronic) Linking ISSN: 08953996 NLM ISO Abbreviation: J Xray Sci Technol Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Colonic Polyps*/diagnostic imaging , Image Processing, Computer-Assisted*/methods, Humans ; Neural Networks, Computer ; Algorithms ; Image Interpretation, Computer-Assisted/methods

Dynamic Computed Tomography Angiography for capturing vessel wall motion: A phantom study for optimal image reconstruction.

Автори: Stam LB; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands., Linden SML; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.; Technical Medical Center, University of Twente, Enschede, The Netherlands., Oostveen LJ; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands., Hansen HHG; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands., Aquarius R; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands., Slump CH; Technical Medical Center, University of Twente, Enschede, The Netherlands., de Korte CL; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands., Bartels RHMA; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands., Prokop M; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands., Boogaarts HD; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands., Meijer FJA; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.

Джерело: PloS one [PLoS One] 2023 Dec 22; Vol. 18 (12), pp. e0293353. Date of Electronic Publication: 2023 Dec 22 (Print Publication: 2023).

Тип публікації: Journal Article

Інформація про журнал: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Computed Tomography Angiography*/methods , Radiographic Image Interpretation, Computer-Assisted*/methods, Tomography, X-Ray Computed/methods ; Angiography/methods ; Algorithms ; Image Processing, Computer-Assisted ; Radiation Dosage

Enhancing breast ultrasound segmentation through fine-tuning and optimization techniques: Sharp attention UNet.

Автори: Khaledyan D; Department of Electrical and Electronics Engineering, University of Rochester, Rochester, NY, United States of America., Marini TJ; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, United States of America., M Baran T; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, United States of America., O'Connell A; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, United States of America., Parker K; Department of Electrical and Electronics Engineering, University of Rochester, Rochester, NY, United States of America.; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, United States of America.

Джерело: PloS one [PLoS One] 2023 Dec 13; Vol. 18 (12), pp. e0289195. Date of Electronic Publication: 2023 Dec 13 (Print Publication: 2023).

Тип публікації: Journal Article

Інформація про журнал: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Benchmarking* , Diagnosis, Computer-Assisted*, Female ; Humans ; Research Personnel ; Ultrasonography, Mammary ; Image Processing, Computer-Assisted

Image rain removal network based on checkerboard transformer and CNN hybrid mechanism.

Автори: Yang Y; College of Computer Science and Technolog, Civil Aviation University of China, Tianjin, China., Lin J; University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan, China., Dai X; College of Computer Science and Technolog, Civil Aviation University of China, Tianjin, China., Zhang Z; University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan, China., Zhang S; School of Computing, North China Institute of Science and Technology, Langfang, China., Chen Y; College of Aeronautical Engineering Institute, Civil Aviation University of China, Tianjin, China., Kong G; School of Electrical Engineering, Yanshan University, Qinhuangdao, China., Li X; Sinopec Qilu Petrochemical Company, Zibo, China.

Джерело: PloS one [PLoS One] 2025 May 16; Vol. 20 (5), pp. e0322011. Date of Electronic Publication: 2025 May 16 (Print Publication: 2025).

Тип публікації: Journal Article

Інформація про журнал: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Терміни MeSH (Медичних предметних рубрик): Neural Networks, Computer* , Rain* , Image Processing, Computer-Assisted*/methods, Algorithms