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

Tekijät: 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.

Lähde: 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.

Julkaisutyyppi: Evaluation Study; Journal Article; Validation Study

Lehden tiedot: 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

MeSH-termit: 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.

Tekijät: 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.

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

Julkaisutyyppi: Journal Article

Lehden tiedot: 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

MeSH-termit: 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.

Tekijät: 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.

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

Julkaisutyyppi: Journal Article

Lehden tiedot: 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

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

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

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

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

Asiasanat: *CONVOLUTIONAL neural networks, *FEATURE selection, *MEDICAL sciences, *LUNG cancer, *MACHINE learning, *DEEP learning

Brain tumor classification using MRI images and deep learning techniques.

Tekijät: 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)

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

Asiasanat: *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.

Tekijät: 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

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

Asiasanat: *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.

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

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

Asiasanat: *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.

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

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

Asiasanat: *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.

Tekijät: 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

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

Asiasanat: *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.

Tekijät: 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

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

Asiasanat: *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.

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

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

Asiasanat: *CONVOLUTIONAL neural networks, *GOLD sales & prices, *RECURRENT neural networks, *DEEP learning, *RANDOM forest algorithms

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

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

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

Asiasanat: *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?

Tekijät: 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)

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

Asiasanat: *CONVOLUTIONAL neural networks, *SEXUAL selection, *BROOD parasites, *EMBRYOS, *EGGS, *EGGSHELLS, *BIRD eggs

Municipal Solid Waste Prediction using Tree Hierarchical Deep Convolutional Neural Network Optimized with Balancing Composite Motion Optimization Algorithm.

Tekijät: Prakash, T. Senthil¹ (AUTHOR) jtyesp14@gmail.com, M, Annalakshmi² (AUTHOR), Patnayakuni, Siva Prasad³ (AUTHOR), Shibu, S.⁴ (AUTHOR)

Lähde: Journal of Experimental & Theoretical Artificial Intelligence. May2025, Vol. 37 Issue 4, p649-669. 21p.

Asiasanat: *CONVOLUTIONAL neural networks, *SOLID waste, *OPTIMIZATION algorithms, *ERROR rates, *ORGANIC wastes

Combined Unet and CNN image classification model for COVID disease detection using CXR/CT imaging.

Tekijät: Haennah, J.H. Jensha¹ (AUTHOR) jenshahaennah@gmail.com, Christopher, C. Seldev² (AUTHOR), King, G.R. Gnana³ (AUTHOR)

Lähde: Journal of Intelligent & Fuzzy Systems. 2025, Vol. 48 Issue 5, p627-643. 17p.

Asiasanat: *SARS-CoV-2, *CONVOLUTIONAL neural networks, *COMPUTER-aided diagnosis, *IMAGE recognition (Computer vision), *ARTIFICIAL intelligence

Cartoon art style rendering algorithm based on deep learning.

Tekijät: Shi, Yujie¹ (AUTHOR) shiyujie@zwu.edu.cn, Wang, Baoqing¹ (AUTHOR) wangbaoqing@zwu.edu.cn

Lähde: Neural Computing & Applications. May2025, Vol. 37 Issue 13, p8061-8072. 12p.

Asiasanat: *CONVOLUTIONAL neural networks, *MACHINE learning, *ARTIFICIAL intelligence, *DEEP learning, *ARTISTIC style, *IMAGE processing

Hybrid Cassava Identification from Morphometric Analysis to Deep Convolutional Neural Networks and Confirmation Strategies.

Tekijät: Changtor, Phanupong¹, Ratiphaphongthon, Wachiraphong², Saengthong, Maturada¹, Buddhachat, Kittisak^1,3, Yimtragool, Nonglak^1,3,4 nonglakp@nu.ac.th

Lähde: Trends in Sciences. May2025, Vol. 22 Issue 5, p1-20. 20p.

Asiasanat: *IMAGE recognition (Computer vision), *CONVOLUTIONAL neural networks, *PRINCIPAL components analysis, *CROP management, *DEEP learning

Vision transformer-based diagnosis of lumbar disc herniation with grad-CAM interpretability in CT imaging.

Tekijät: Chu, Qingsong^1,2 (AUTHOR), Wang, Xingyu^1,2 (AUTHOR), Lv, Hao^1,2 (AUTHOR), Zhou, Yao^1,2 (AUTHOR), Jiang, Ting¹ (AUTHOR) jiangting70@163.com

Lähde: BMC Musculoskeletal Disorders. 4/29/2025, Vol. 26 Issue 1, p1-13. 13p.

Asiasanat: *COMPUTED tomography, *CONVOLUTIONAL neural networks, *COMPUTER-assisted image analysis (Medicine), *IMAGE processing, *ARTIFICIAL intelligence

Unlocking the soundscape of coral reefs with artificial intelligence: pretrained networks and unsupervised learning win out.

Tekijät: Williams, Ben^1,2 (AUTHOR) ben.williams.20@ucl.ac.uk, Balvanera, Santiago M.¹ (AUTHOR), Sethi, Sarab S.³ (AUTHOR), Lamont, Timothy A.C.⁴ (AUTHOR), Jompa, Jamaluddin⁵ (AUTHOR), Prasetya, Mochyudho⁶ (AUTHOR), Richardson, Laura⁷ (AUTHOR), Chapuis, Lucille⁸ (AUTHOR), Weschke, Emma⁸ (AUTHOR), Hoey, Andrew⁹ (AUTHOR), Beldade, Ricardo^9,10 (AUTHOR), Mills, Suzanne C.^11,12 (AUTHOR), Haguenauer, Anne¹¹ (AUTHOR), Zuberer, Frederic¹¹ (AUTHOR), Simpson, Stephen D.⁸ (AUTHOR), Curnick, David² (AUTHOR), Jones, Kate E.¹ (AUTHOR)

Lähde: PLoS Computational Biology. 4/28/2025, Vol. 21 Issue 4, p1-18. 18p.

Asiasanat: *CONVOLUTIONAL neural networks, *MACHINE learning, *CORAL reefs & islands, *ARTIFICIAL intelligence, *SOUNDSCAPES (Auditory environment)

The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses.

Tekijät: Lee, Daniel J.^1,2 (AUTHOR) Daniel.Lee@unityhealth.to, Hamghalam, Mohammad^3,4 (AUTHOR) m.hamghalam@queensu.ca, Wang, Lily¹ (AUTHOR) lly.wang@mail.utoronto.ca, Lin, Hui-Ming⁴ (AUTHOR) Hui-Ming.Lin@unityhealth.to, Colak, Errol^4,5 (AUTHOR) Errol.Colak@unityhealth.to, Mamdani, Muhammad⁴ (AUTHOR) Muhammad.Mamdani@unityhealth.to, Simpson, Amber L.^3,6 (AUTHOR) amber.simpson@queensu.ca, Lee, John M.¹ (AUTHOR) John.Lee@unityhealth.to

Lähde: BioMedical Engineering OnLine. 4/27/2025, Vol. 24 Issue 1, p1-11. 11p.

Asiasanat: *CONVOLUTIONAL neural networks, *PARANASAL sinuses, *ARTIFICIAL intelligence, *IMAGE processing, *COMPUTED tomography