Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks.

Auteurs: Agyekum EA; Department of Ultrasound, Affiliated People's Hospital of Jiangsu University, Zhenjiang, 212002, China.; School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, Jiangsu Province, China., Wang YG; Department of Ultrasound, Jiangsu Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing, China., Issaka E; College of Engineering, Birmingham City University, Birmingham, B4 7XG, UK., Ren YZ; Department of Ultrasound, Affiliated People's Hospital of Jiangsu University, Zhenjiang, 212002, China., Tan G; Department of Ultrasound, Affiliated People's Hospital of Jiangsu University, Zhenjiang, 212002, China., Shen X; School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, Jiangsu Province, China. xjshen@ujs.edu.cn., Qian XQ; Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China. yz_tyz1030@126.com.; Northern Jiangsu People's Hospital, Yangzhou, Jiangsu Province, China. yz_tyz1030@126.com.; The Yangzhou Clinical Medical College of Xuzhou Medical University, Yangzhou, Jiangsu Province, China. yz_tyz1030@126.com.

Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Apr 11; Vol. 25 (1), pp. 161. Date of Electronic Publication: 2025 Apr 11.

Type de publication: Evaluation Study; Journal Article; Validation Study

Informations sur la revue: 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

Termes MeSH: Convolutional Neural Networks* , Deep Learning* , Microwaves*/therapeutic use , Radiofrequency Ablation*/methods , Thyroid Nodule*/diagnostic imaging , Thyroid Nodule*/surgery, Adult ; Female ; Humans ; Male ; Middle Aged ; Ultrasonography, Interventional ; Adolescent ; Young Adult ; Aged ; Aged, 80 and over

A semi-supervised convolutional neural network for diagnosis of pancreatic ductal adenocarcinoma based on EUS-FNA cytological images.

Auteurs: Fang D; Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China.; Department of Gastroenterology, The Second People's Hospital of Hefei, Hefei, 230011, Anhui Province, China., Huang Y; Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui Province, China.; University of Science and Technology of China, Hefei, 230026, Anhui Province, China., Li S; Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China., Shi C; Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China., Bao J; Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China., Du D; Department of Cytopathology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China., Xuan L; Department of Pathology, Anqing Hospital Affiliated to Anhui Medical University, Anqing, 246004, Anhui Province, China., Ye L; Department of Gastroenterology, Anqing Hospital Affiliated to Anhui Medical University, Anqing, 246004, Anhui Province, China., Zhang Y; Department of Gastroenterology, Anqing Hospital Affiliated to Anhui Medical University, Anqing, 246004, Anhui Province, China., Zhu C; Department of Biliary and Pancreatic Surgery, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China., Zheng H; Department of Gastroenterology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233004, Anhui Province, China., Shi Z; Department of Gastroenterology, The Second People's Hospital of Hefei, Hefei, 230011, Anhui Province, China., Mei Q; Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China. meiqiaomq@aliyun.com., Wang H; Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui Province, China. hqwang@iim.ac.cn.; University of Science and Technology of China, Hefei, 230026, Anhui Province, China. hqwang@iim.ac.cn.

Source: BMC cancer [BMC Cancer] 2025 Mar 18; Vol. 25 (1), pp. 495. Date of Electronic Publication: 2025 Mar 18.

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Carcinoma, Pancreatic Ductal*/diagnosis , Carcinoma, Pancreatic Ductal*/pathology , Carcinoma, Pancreatic Ductal*/diagnostic imaging , Convolutional Neural Networks* , Endoscopic Ultrasound-Guided Fine Needle Aspiration*/methods , Pancreatic Neoplasms*/diagnosis , Pancreatic Neoplasms*/pathology , Pancreatic Neoplasms*/diagnostic imaging, Aged ; Female ; Humans ; Male ; Middle Aged ; Neural Networks, Computer ; Sensitivity and Specificity

CacPred: a cascaded convolutional neural network for TF-DNA binding prediction.

Auteurs: Zhang S; School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.; Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China., Ma A; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA., Xie X; Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China., Lian Z; School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China. newlzcts@njust.edu.cn., Wang Y; Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China. wy6868@jlu.edu.cn.

Source: BMC genomics [BMC Genomics] 2025 Mar 18; Vol. 26 (Suppl 2), pp. 264. Date of Electronic Publication: 2025 Mar 18.

Type de publication: Journal Article

Informations sur la revue: Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164 (Electronic) Linking ISSN: 14712164 NLM ISO Abbreviation: BMC Genomics Subsets: MEDLINE

Termes MeSH: Convolutional Neural Networks* , Neural Networks, Computer* , Software* , Transcription Factors*/metabolism, Algorithms ; Binding Sites ; Chromatin Immunoprecipitation Sequencing ; Computational Biology/methods ; DNA/metabolism ; Protein Binding

Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation.

Auteurs: Sarafraz I; Department of Electrical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran., Agahi H; Department of Electrical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran., Mahmoodzadeh A; Department of Electrical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran.

Source: PloS one [PLoS One] 2025 Jan 17; Vol. 20 (1), pp. e0315538. Date of Electronic Publication: 2025 Jan 17 (Print Publication: 2025).

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Brain*/diagnostic imaging , Convolutional Neural Networks* , Image Processing, Computer-Assisted*/methods , Magnetic Resonance Imaging*/methods, Humans ; Infant, Newborn ; Algorithms

Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification.

Auteurs: D J; School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, Tamil Nadu, India., K C S; School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Source: PloS one [PLoS One] 2025 Jan 16; Vol. 20 (1), pp. e0311942. Date of Electronic Publication: 2025 Jan 16 (Print Publication: 2025).

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Convolutional Neural Networks* , Electroencephalography*/methods , Imagination*/physiology , Signal Processing, Computer-Assisted*, Humans ; Algorithms ; Brain-Computer Interfaces ; Signal-To-Noise Ratio

Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification.

Auteurs: Mustafa S; Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan.; Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan., Jaffar A; Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan.; Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan., Rashid M; Department of Computer Science, National University of Technology, Islamabad, Pakistan., Akram S; Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan.; Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan.; Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia., Bhatti SM; Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan.; Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan.

Source: PloS one [PLoS One] 2025 Jan 16; Vol. 20 (1), pp. e0315120. Date of Electronic Publication: 2025 Jan 16 (Print Publication: 2025).

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Convolutional Neural Networks* , Deep Learning* , Image Processing, Computer-Assisted*/methods , Skin*/pathology , Skin*/diagnostic imaging , Skin Neoplasms*/diagnostic imaging , Skin Neoplasms*/classification , Skin Neoplasms*/pathology , Skin Neoplasms*/diagnosis, Humans ; Algorithms ; Random Forest

Potato plant disease detection: leveraging hybrid deep learning models.

Auteurs: Sinamenye, Jackson Herbert¹ (AUTHOR) jacksonherberts@gmail.com, Chatterjee, Ayan² (AUTHOR) ayan@nilu.no, Shrestha, Raju¹ (AUTHOR) raju.shrestha@oslomet.no

Source: BMC Plant Biology. 5/16/2025, Vol. 25 Issue 1, p1-15. 15p.

Mots-clés sujets: *CONVOLUTIONAL neural networks, *TRANSFORMER models, *SUSTAINABLE development, *PLANT diseases, *DEEP learning

EnGCI: enhancing GPCR-compound interaction prediction via large molecular models and KAN network.

Auteurs: Liu, Weihao¹ (AUTHOR) 2226082425@qq.com, Li, Xiaoli¹ (AUTHOR) lixli27@mail2.sysu.edu.cn, Hang, Bo¹ (AUTHOR) bohang@163.com, Wang, Pu¹ (AUTHOR) nywangpu@yeah.net

Source: BMC Biology. 5/15/2025, Vol. 23 Issue 1, p1-16. 16p.

Mots-clés sujets: *CONVOLUTIONAL neural networks, *DRUG discovery, *ARTIFICIAL intelligence, *MOLECULAR models, *ISOMORPHISM (Mathematics), *DEEP learning

Classification of lung cancer severity using gene expression data based on deep learning.

Auteurs: Nassif, Ali Bou¹ (AUTHOR) anassif@sharjah.ac.ae, Abujabal, Nour Ayman¹ (AUTHOR), Omar, Aya Alchikh¹ (AUTHOR)

Source: BMC Medical Informatics & Decision Making. 5/14/2025, Vol. 25 Issue 1, p1-19. 19p.

Mots-clés sujets: *CONVOLUTIONAL neural networks, *FEATURE selection, *MEDICAL sciences, *LUNG cancer, *MACHINE learning, *DEEP learning

Integrating temporal convolutional networks with metaheuristic optimization for accurate software defect prediction.

Auteurs: Abdelaziz, Ahmed^1,2 (AUTHOR) ahmed.aziz.1157@gmail.com, Mahmoud, Alia Nabil¹ (AUTHOR), Santos, Vitor¹ (AUTHOR), Freire, Mario M.³ (AUTHOR)

Source: PLoS ONE. 5/12/2025, Vol. 20 Issue 5, p1-38. 38p.

Mots-clés sujets: *CONVOLUTIONAL neural networks, *LONG short-term memory, *COMPUTER software quality control, *METAHEURISTIC algorithms, *COMPUTER software development, *DEEP learning

Brain tumor classification using MRI images and deep learning techniques.

Auteurs: Wong, Yuki¹ (AUTHOR), Su, Eileen Lee Ming¹ (AUTHOR) eileensu@utm.my, Yeong, Che Fai¹ (AUTHOR), Holderbaum, William² (AUTHOR) w.holderbaum@mmu.ac.uk, Yang, Chenguang³ (AUTHOR)

Source: PLoS ONE. 5/9/2025, Vol. 20 Issue 5, p1-19. 19p.

Mots-clés sujets: *CONVOLUTIONAL neural networks, *BRAIN tumors, *MAGNETIC resonance imaging, *TUMOR classification, *PITUITARY tumors

iPiDA-LGE: a local and global graph ensemble learning framework for identifying piRNA-disease associations.

Auteurs: Wei, Hang¹ (AUTHOR) weihang@xidian.edu.cn, Hou, Jialu² (AUTHOR) jlhou@bliulab.net, Liu, Yumeng³ (AUTHOR) liuyumeng@sztu.edu.cn, Shaytan, Alexey K.^4,5 (AUTHOR) shaytan_ak@mail.bio.msu.ru, Liu, Bin^2,6,7 (AUTHOR) bliu@bliulab.net, Wu, Hao² (AUTHOR) hwu@bliulab.net

Source: BMC Biology. 5/9/2025, Vol. 23 Issue 1, p1-14. 14p.

Mots-clés sujets: *CONVOLUTIONAL neural networks, *ENSEMBLE learning, *GLOBAL method of teaching, *DRUG target, *PROGNOSIS

Study on forecasting method of power engineering cost based on BIM and DynGCN.

Auteurs: Zhai, Huijing¹ (AUTHOR), Ma, Jiangtao¹ (AUTHOR) jlkc_xjf001@163.com

Source: PLoS ONE. 5/8/2025, Vol. 20 Issue 5, p1-15. 15p.

Mots-clés sujets: *INFORMATION resources management, *CONVOLUTIONAL neural networks, *COST control, *LIFE cycles (Biology), *BUILDING information modeling

Identification of medicinal plant parts using depth-wise separable convolutional neural network.

Auteurs: Widneh, Misganaw Aguate¹ (AUTHOR) amlakieaschale19@gmail.com, Alemu, Amlakie Aschale¹ (AUTHOR)

Source: PLoS ONE. 5/7/2025, Vol. 20 Issue 5, p1-19. 19p.

Mots-clés sujets: *CONVOLUTIONAL neural networks, *SUPERVISED learning, *PLANT identification, *MEDICINAL plants, *PHARMACEUTICAL industry

Deep learning-based evaluation of the severity of mitral regurgitation in canine myxomatous mitral valve disease patients using digital stethoscope recordings.

Auteurs: Lee, Soh-Yeon¹ (AUTHOR), Lee, Sully¹ (AUTHOR), Kim, Se-Hoon¹ (AUTHOR), Chang, HyeSun² (AUTHOR), Cho, Won-Yang² (AUTHOR), Ryu, Min-Ok¹ (AUTHOR), Choi, Jihye³ (AUTHOR), Yoon, Hwa-Young¹ (AUTHOR), Seo, Kyoung-Won¹ (AUTHOR) kwseo@snu.ac.kr

Source: BMC Veterinary Research. 5/8/2025, Vol. 21 Issue 1, p1-15. 15p.

Mots-clés sujets: *CONVOLUTIONAL neural networks, *MITRAL valve insufficiency, *DEEP learning, *CONGESTIVE heart failure, *ELECTRONIC records

Improving fine-grained food classification using deep residual learning and selective state space models.

Auteurs: Chen, Chi-Sheng¹ (AUTHOR), Chen, Guan-Ying² (AUTHOR), Zhou, Dong³ (AUTHOR), Jiang, Di⁴ (AUTHOR), Chen, Daishi⁵ (AUTHOR) cdsginqtbing@hotmail.com, Chang, Shao-Hsuan^3,6 (AUTHOR) changshao1311@gmail.com

Source: PLoS ONE. 5/5/2025, Vol. 20 Issue 5, p1-14. 14p.

Mots-clés sujets: *TRANSFORMER models, *CONVOLUTIONAL neural networks, *FEATURE extraction, *STRUCTURAL design, *LEARNING strategies

TCN-QV: an attention-based deep learning method for long sequence time-series forecasting of gold prices.

Auteurs: Yang, Yishuai¹ (AUTHOR) 15828089620@163.com

Source: PLoS ONE. 5/5/2025, Vol. 20 Issue 5, p1-24. 24p.

Mots-clés sujets: *CONVOLUTIONAL neural networks, *GOLD sales & prices, *RECURRENT neural networks, *DEEP learning, *RANDOM forest algorithms

Deep Learning-Based Classification of Canine Cataracts from Ocular B-Mode Ultrasound Images.

Auteurs: Park, Sanghyeon¹ (AUTHOR), Go, Seokmin² (AUTHOR), Kim, Seonhyo³ (AUTHOR), Shim, Jaeho^4,5 (AUTHOR) jhoshim@gnu.ac.kr

Source: Animals (2076-2615). May2025, Vol. 15 Issue 9, p1327. 11p.

Mots-clés sujets: *CONVOLUTIONAL neural networks, *DIAGNOSTIC ultrasonic imaging, *ULTRASONIC imaging, *VISION disorders, *VETERINARY ophthalmology, *DEEP learning

A framework of Polar CanisFel optimization-based deep ensemble classifier with graph embedding for imbalanced data classification.

Auteurs: Bhowate, Vikas Gajananrao¹ (AUTHOR) vikasgb774@gmail.com, Reddy, T Hanumantha² (AUTHOR)

Source: Web Intelligence (2405-6456). May2025, Vol. 23 Issue 2, p255-274. 20p.

Mots-clés sujets: *CONVOLUTIONAL neural networks, *LONG short-term memory, *RECURRENT neural networks, *DATA mining, *HEART failure

Can explainable AI classify shrike (Laniidae) eggs by uncovering species-wide pigmentation patterns?

Auteurs: Pstrokoński, Paweł¹ (AUTHOR) pawel.pstrokonski@gmail.com, Roszkowiak, Łukasz² (AUTHOR), Korzyńska, Anna² (AUTHOR), Wójcik, Wojciech¹ (AUTHOR), Päckert, Martin³ (AUTHOR), Rosenberger, Joanna⁴ (AUTHOR), Mierzwa-Szymkowiak, Dominika⁵ (AUTHOR), Sepkowska, Magdalena⁶ (AUTHOR), Lontkowski, Jan⁷ (AUTHOR), Słupek, Marek⁸ (AUTHOR), Damaziak, Krzysztof¹ (AUTHOR)

Source: PLoS ONE. 5/2/2025, Vol. 20 Issue 5, p1-19. 19p.

Mots-clés sujets: *CONVOLUTIONAL neural networks, *SEXUAL selection, *BROOD parasites, *EMBRYOS, *EGGS, *EGGSHELLS, *BIRD eggs