KS-TMIL: A K-Stage Transformer approach with multiple instance learning model for ovarian cancer subtype classification.

Συγγραφείς: Sai MJ; Atal Bihari Vajpayee-Indian Institute of Information Technology and Management, Dept. of Computer Science and Engineering, Gwalior, 474015, Madhya Pradesh, India., Punn NS; Atal Bihari Vajpayee-Indian Institute of Information Technology and Management, Dept. of Computer Science and Engineering, Gwalior, 474015, Madhya Pradesh, India. Electronic address: nspunn@iiitm.ac.in.

Πηγή: Computers in biology and medicine [Comput Biol Med] 2025 Sep; Vol. 196 (Pt B), pp. 110726. Date of Electronic Publication: 2025 Jul 22.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Image Interpretation, Computer-Assisted*/methods , Multiple-Instance Learning Algorithms* , Ovarian Neoplasms*/classification , Ovarian Neoplasms*/diagnostic imaging , Ovarian Neoplasms*/pathology, Female ; Humans

Hierarchically Optimized Multiple Instance Learning With Multi-Magnification Pathological Images for Cerebral Tumor Diagnosis.

Συγγραφείς: Zhu L, Yan R, Guan T, Zhang F, Guo L, He Q, Shi S, Shi H, He Y, Han A

Πηγή: IEEE journal of biomedical and health informatics [IEEE J Biomed Health Inform] 2025 Jun; Vol. 29 (6), pp. 4173-4185.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101604520 Publication Model: Print Cited Medium: Internet ISSN: 2168-2208 (Electronic) Linking ISSN: 21682194 NLM ISO Abbreviation: IEEE J Biomed Health Inform Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Brain Neoplasms*/diagnostic imaging , Brain Neoplasms*/pathology , Image Interpretation, Computer-Assisted*/methods , Multiple-Instance Learning Algorithms*, Humans ; Brain/diagnostic imaging ; Brain/pathology ; Databases, Factual ; Glioma/diagnostic imaging ; Glioma/pathology ; Machine Learning

S2L-CM: Scribble-supervised nuclei segmentation in histopathology images using contrastive regularization and pixel-level multiple instance learning.

Συγγραφείς: Oh HJ; Department of Computer Science and Engineering, College of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea., Min S; Department of Computer Science and Engineering, College of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea., Jeong WK; Department of Computer Science and Engineering, College of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea. Electronic address: wkjeong@korea.ac.kr.

Πηγή: Computers in biology and medicine [Comput Biol Med] 2025 Jun; Vol. 192 (Pt B), pp. 110293. Date of Electronic Publication: 2025 May 16.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Cell Nucleus*/pathology , Image Processing, Computer-Assisted*/methods , Multiple-Instance Learning Algorithms*, Humans ; Algorithms ; Deep Learning

Whole slide image-level classification of malignant effusion cytology using clustering-constrained attention multiple instance learning.

Συγγραφείς: Kim D; The Catholic University of Korea College of Medicine, Seoul, South Korea., Lee J; The Catholic University of Korea College of Medicine, Seoul, South Korea., Jung M; The Catholic University of Korea College of Medicine, Seoul, South Korea., Yim K; Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul, South Korea., Hwang G; AI Research Lab, DEEPNOID Inc., Seoul, South Korea., Yoon H; AI Research Lab, DEEPNOID Inc., Seoul, South Korea., Jeong D; AI Research Lab, DEEPNOID Inc., Seoul, South Korea., Cho WJ; AI Research Lab, DEEPNOID Inc., Seoul, South Korea., Alam MR; Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul, South Korea., Gong G; Department of Pathology, Asan Medical Center, Seoul, South Korea., Cho NH; Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea., Yoo CW; Department of Pathology, National Cancer Center, Goyang, South Korea., Chong Y; Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul, South Korea. Electronic address: ychong@catholic.ac.kr., Seo KJ; Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul, South Korea. Electronic address: ywacko@catholic.ac.kr.

Πηγή: Lung cancer (Amsterdam, Netherlands) [Lung Cancer] 2025 Jun; Vol. 204, pp. 108552. Date of Electronic Publication: 2025 Apr 21.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8800805 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8332 (Electronic) Linking ISSN: 01695002 NLM ISO Abbreviation: Lung Cancer Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Cluster Analysis* , Lung Neoplasms*/diagnosis , Lung Neoplasms*/pathology , Multiple-Instance Learning Algorithms* , Pleural Effusion, Malignant*/diagnosis , Pleural Effusion, Malignant*/pathology , Pleural Effusion, Malignant*/classification, Humans ; Cytodiagnosis/methods ; Image Processing, Computer-Assisted/methods

The KMeansGraphMIL Model: A Weakly Supervised Multiple Instance Learning Model for Predicting Colorectal Cancer Tumor Mutational Burden.

Συγγραφείς: Chen L; Radiology Department, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China., Xiao H; Radiology Department, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China., Jiang J; Department of Medical Imaging, First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China., Li B; Department of Medical Imaging, First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China., Liu W; College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China. Electronic address: wxliu@szu.edu.cn., Huang W; Radiology Department, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China. Electronic address: huangwensheng@sysush.com.

Πηγή: The American journal of pathology [Am J Pathol] 2025 Apr; Vol. 195 (4), pp. 671-679. Date of Electronic Publication: 2025 Jan 10.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Country of Publication: United States NLM ID: 0370502 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-2191 (Electronic) Linking ISSN: 00029440 NLM ISO Abbreviation: Am J Pathol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Biomarkers, Tumor*/genetics , Colorectal Neoplasms*/genetics , Colorectal Neoplasms*/pathology , Colorectal Neoplasms*/diagnosis , Multiple-Instance Learning Algorithms* , Mutation*, Humans ; ROC Curve

Geometric deep learning and multiple-instance learning for 3D cell-shape profiling.

Συγγραφείς: De Vries M; Department of Cancer Biology, Institute of Cancer Research, London, UK; Department of Physics, Imperial College London, London, UK; Sentinal4D, London, UK., Dent LG; Department of Cancer Biology, Institute of Cancer Research, London, UK., Curry N; Department of Physics, Imperial College London, London, UK., Rowe-Brown L; Department of Physics, Imperial College London, London, UK., Bousgouni V; Department of Cancer Biology, Institute of Cancer Research, London, UK., Fourkioti O; Department of Cancer Biology, Institute of Cancer Research, London, UK., Naidoo R; Department of Cancer Biology, Institute of Cancer Research, London, UK., Sparks H; Department of Physics, Imperial College London, London, UK., Tyson A; Gatsby Computational Neuroscience Unit, University College London, London, UK., Dunsby C; Department of Physics, Imperial College London, London, UK., Bakal C; Department of Cancer Biology, Institute of Cancer Research, London, UK; Sentinal4D, London, UK. Electronic address: chris.bakal@icr.ac.uk.

Πηγή: Cell systems [Cell Syst] 2025 Mar 19; Vol. 16 (3), pp. 101229.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Cell Press Country of Publication: United States NLM ID: 101656080 Publication Model: Print Cited Medium: Internet ISSN: 2405-4720 (Electronic) Linking ISSN: 24054712 NLM ISO Abbreviation: Cell Syst Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Cell Shape* , Multiple-Instance Learning Algorithms*, Humans ; Deep Learning ; Drug Discovery/methods ; Imaging, Three-Dimensional/methods ; Melanoma/pathology

CAMIL: channel attention-based multiple instance learning for whole slide image classification.

Συγγραφείς: Mao J; School of Mathematics and Statistics, Fuzhou University, Fuzhou 350108, China., Xu J; School of Computer Science and Technology, Wuhan University of Science and Technology, Hubei 430065, China., Tang X; School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China., Liu Y; School of Mathematics and Statistics, Fuzhou University, Fuzhou 350108, China., Zhao H; Geneis Beijing Co., Ltd, Beijing 100102, China., Tian G; Geneis Beijing Co., Ltd, Beijing 100102, China., Yang J; Geneis Beijing Co., Ltd, Beijing 100102, China.

Πηγή: Bioinformatics (Oxford, England) [Bioinformatics] 2025 Feb 04; Vol. 41 (2).

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Image Processing, Computer-Assisted*/methods , Multiple-Instance Learning Algorithms*, Humans ; Algorithms ; Computational Biology/methods

Beyond accuracy: Quantifying the reliability of multiple instance learning for whole slide image classification.

Συγγραφείς: Keshvarikhojasteh H; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands., Aubreville M; Flensburg Artificial Intelligence Research Group (FLAIR), Flensburg University of Applied Sciences, Flensburg, Germany., Bertram CA; University of Veterinary Medicine Vienna, Vienna, Austria., Pluim JPW; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands., Veta M; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.

Πηγή: PloS one [PLoS One] 2025 Dec 05; Vol. 20 (12), pp. e0337261. Date of Electronic Publication: 2025 Dec 05 (Print Publication: 2025).

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: 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

Ιατρικοί όροι (MeSH): Machine Learning* , Image Processing, Computer-Assisted*/methods, Humans ; Reproducibility of Results ; Multiple-Instance Learning Algorithms

BPMambaMIL: A bio-inspired prototype-guided multiple instance learning for oncotype DX risk assessment in histopathology.

Συγγραφείς: Guo Y; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, USA. Electronic address: yoguo@wakehealth.edu., Su Z; Department of Pathology, The Ohio State University, Columbus, OH, USA., Koyun OC; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, USA., Lu H; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, USA., Wesolowski R; Division of Medical Oncology, Comprehensive Cancer Center, The Ohio State University College of Medicine, Columbus, OH, USA., Tozbikian G; Department of Pathology, The Ohio State University, Columbus, OH, USA., Niazi MKK; Department of Pathology, The Ohio State University, Columbus, OH, USA., Gurcan MN; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, USA.

Πηγή: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2025 Dec; Vol. 272, pp. 109039. Date of Electronic Publication: 2025 Aug 26.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Breast Neoplasms*/pathology , Breast Neoplasms*/genetics, Humans ; Female ; Risk Assessment ; Algorithms ; Prognosis ; Multiple-Instance Learning Algorithms

Disentangled Pseudo-Bag Augmentation for Whole Slide Image Multiple Instance Learning.

Συγγραφείς: Dong J, Jiang J, Jiang K, Li J, Cai L, Zhang Y

Πηγή: IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2025 Nov; Vol. 44 (11), pp. 4181-4197.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 8310780 Publication Model: Print Cited Medium: Internet ISSN: 1558-254X (Electronic) Linking ISSN: 02780062 NLM ISO Abbreviation: IEEE Trans Med Imaging Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Image Interpretation, Computer-Assisted*/methods , Machine Learning*, Humans ; Algorithms ; Neural Networks, Computer ; Multiple-Instance Learning Algorithms

Multiple instance learning using pathology foundation models effectively predicts kidney disease diagnosis and clinical classification.

Συγγραφείς: Kurata Y; Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan., Mimura I; Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan. imimura@m.u-tokyo.ac.jp.; Organ Pathophysiology Program, The University of Tokyo Graduate School of Medicine, Tokyo, Japan. imimura@m.u-tokyo.ac.jp., Kodera S; Department of Cardiovascular Medicine, The University of Tokyo Graduate School of Medicine, Tokyo, Japan., Abe H; Department of Pathology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan., Yamada D; Division of Urology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan., Kume H; Division of Urology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan., Ushiku T; Department of Pathology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan., Tanaka T; Department of Nephrology, Tohoku University Graduate School of Medicine, Sendai, Japan., Takeda N; Organ Pathophysiology Program, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.; Department of Cardiovascular Medicine, The University of Tokyo Graduate School of Medicine, Tokyo, Japan., Nangaku M; Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan.; Organ Pathophysiology Program, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.

Πηγή: Scientific reports [Sci Rep] 2025 Oct 09; Vol. 15 (1), pp. 35298. Date of Electronic Publication: 2025 Oct 09.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Kidney Diseases*/diagnosis , Kidney Diseases*/classification , Kidney Diseases*/pathology , Diabetic Nephropathies*/diagnosis , Diabetic Nephropathies*/pathology , Machine Learning*, Humans ; ROC Curve ; Kidney/pathology ; Male ; Female ; Multiple-Instance Learning Algorithms

Learnable Context in Multiple Instance Learning for Whole Slide Image Classification and Segmentation.

Συγγραφείς: Huang YY; National Cheng Kung University, Tainan, Taiwan., Chu WT; National Cheng Kung University, Tainan, Taiwan. wtchu@gs.ncku.edu.tw.

Πηγή: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Aug; Vol. 38 (4), pp. 2322-2336. Date of Electronic Publication: 2024 Nov 04.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Image Interpretation, Computer-Assisted*/methods , Image Processing, Computer-Assisted*/methods , Machine Learning*, Algorithms ; Multiple-Instance Learning Algorithms

Spatial Mapping of Gene Signatures in Hematoxylin and Eosin-Stained Images: A Proof of Concept for Interpretable Predictions Using Additive Multiple Instance Learning.

Συγγραφείς: Markey M; PathAI, Boston, Massachusetts., Kim J; PathAI, Boston, Massachusetts., Goldstein Z; PathAI, Boston, Massachusetts., Gerardin Y; PathAI, Boston, Massachusetts., Brosnan-Cashman J; PathAI, Boston, Massachusetts., Javed SA; PathAI, Boston, Massachusetts., Juyal D; PathAI, Boston, Massachusetts., Pagidela H; PathAI, Boston, Massachusetts., Yu L; PathAI, Boston, Massachusetts., Rahsepar B; PathAI, Boston, Massachusetts., Abel J; PathAI, Boston, Massachusetts., Hennek S; PathAI, Boston, Massachusetts. Electronic address: stephanie.hennek@pathai.com., Khosla A; PathAI, Boston, Massachusetts., Taylor-Weiner A; PathAI, Boston, Massachusetts., Parmar C; PathAI, Boston, Massachusetts.

Πηγή: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc [Mod Pathol] 2025 Aug; Vol. 38 (8), pp. 100772. Date of Electronic Publication: 2025 Apr 11.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 8806605 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1530-0285 (Electronic) Linking ISSN: 08933952 NLM ISO Abbreviation: Mod Pathol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Cancer-Associated Fibroblasts*/pathology , Cancer-Associated Fibroblasts*/metabolism , Machine Learning* , Breast Neoplasms*/pathology , Breast Neoplasms*/genetics , Biomarkers, Tumor*/genetics , Transcriptome*, Humans ; Hematoxylin ; Eosine Yellowish-(YS) ; Female ; Proof of Concept Study ; Transforming Growth Factor beta/metabolism ; Staining and Labeling ; Gene Expression Profiling ; Multiple-Instance Learning Algorithms

Learnable prototype-guided multiple instance learning for detecting tertiary lymphoid structures in multi-cancer whole-slide pathological images.

Συγγραφείς: Xia P; College of Computer Science and Technology, Donghua University, Shanghai 201620, China., Chen D; College of Computer Science and Technology, Donghua University, Shanghai 201620, China. Electronic address: chendehua@dhu.edu.cn., An H; Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Electronic address: huiminan12@fudan.edu.cn., Lim KS; Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China., Yang X; Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.

Πηγή: Medical image analysis [Med Image Anal] 2025 Aug; Vol. 104, pp. 103652. Date of Electronic Publication: 2025 May 23.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Tertiary Lymphoid Structures*/diagnostic imaging , Tertiary Lymphoid Structures*/pathology , Neoplasms*/pathology , Neoplasms*/diagnostic imaging , Image Interpretation, Computer-Assisted*/methods , Machine Learning*, Humans ; Tumor Microenvironment ; Multiple-Instance Learning Algorithms

DepressionMIGNN: A Multiple-Instance Learning-Based Depression Detection Model with Graph Neural Networks.

Συγγραφείς: Zhao S; HACI Laboratory, Sydney Smart Technology College, Northeastern University, Shenyang 110167, China.; School of Computer Science and Engineeing, Northeastern University, Shenyang 110167, China.; Cloudlore Big Data Technology (Qinhuangdao) Co., Ltd., Qinhuangdao 066600, China., Zhang Y; HACI Laboratory, Sydney Smart Technology College, Northeastern University, Shenyang 110167, China.; School of Computer Science and Engineeing, Northeastern University, Shenyang 110167, China.; Cloudlore Big Data Technology (Qinhuangdao) Co., Ltd., Qinhuangdao 066600, China., Su Y; HACI Laboratory, Sydney Smart Technology College, Northeastern University, Shenyang 110167, China.; Cloudlore Big Data Technology (Qinhuangdao) Co., Ltd., Qinhuangdao 066600, China., Su K; HACI Laboratory, Sydney Smart Technology College, Northeastern University, Shenyang 110167, China.; Cloudlore Big Data Technology (Qinhuangdao) Co., Ltd., Qinhuangdao 066600, China., Liu J; Cloudlore Big Data Technology (Qinhuangdao) Co., Ltd., Qinhuangdao 066600, China., Wang T; Cloudlore Big Data Technology (Qinhuangdao) Co., Ltd., Qinhuangdao 066600, China., Yu S; Daikin Comfort Technologies, Waller, TX 77484, USA.

Πηγή: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Jul 21; Vol. 25 (14). Date of Electronic Publication: 2025 Jul 21.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Neural Networks, Computer* , Depression*/diagnosis, Humans ; Algorithms ; Multiple-Instance Learning Algorithms ; Graph Neural Networks

Multi-Scale Multiple Instance Learning for Lymph Node Metastasis Prediction in Early Gastric Cancer.

Συγγραφείς: Jin S, Xu H, Zhu Y, Gao X, Wang M, Cong F

Πηγή: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2025 Jul; Vol. 2025, pp. 1-5.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Internet ISSN: 2694-0604 (Electronic) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Stomach Neoplasms*/pathology , Stomach Neoplasms*/diagnosis , Stomach Neoplasms*/diagnostic imaging , Lymphatic Metastasis*/diagnosis , Machine Learning*, Humans ; Algorithms ; Lymph Nodes/pathology ; Multiple-Instance Learning Algorithms

AI-Driven Pathomics for Predicting Chemotherapy Response in Metastatic Colorectal Cancer: A Transfer Learning Approach with Attention-Based Multiple Instance Learning.

Συγγραφείς: Cruciani F, Nicoletti G, Cafaro D, Mauri G, Lazzari L, Aquilano MC, Regge D, Marsoni S, Giannini V

Πηγή: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2025 Jul; Vol. 2025, pp. 1-7.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Internet ISSN: 2694-0604 (Electronic) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Colorectal Neoplasms*/drug therapy , Colorectal Neoplasms*/pathology , Artificial Intelligence* , Machine Learning*, Humans ; Neoplasm Metastasis ; Algorithms ; Deep Learning ; Treatment Outcome ; Multiple-Instance Learning Algorithms

In-The-Wild Detection of Intermittent Parkinsonian Tremor: A Federated, Self-Supervised Learning Approach Using Attention-Based Multiple Instance Learning.

Συγγραφείς: Alexopoulos D, Delopoulos A

Πηγή: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2025 Jul; Vol. 2025, pp. 1-7.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Internet ISSN: 2694-0604 (Electronic) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Tremor*/diagnosis , Parkinson Disease*/diagnosis , Supervised Machine Learning* , Attention*, Humans ; Smartphone ; Accelerometry ; Algorithms ; Multiple-Instance Learning Algorithms

Enhanced Multiple Instance Learning for Breast Cancer Detection in Mammography: Adaptive Patching, Advanced Pooling, and Deep Supervision.

Συγγραφείς: Sarwar F, Garrido NMF, Sebastiao P, Silveira M

Πηγή: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2025 Jul; Vol. 2025, pp. 1-6.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Internet ISSN: 2694-0604 (Electronic) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Breast Neoplasms*/diagnostic imaging , Mammography*/methods , Deep Learning*, Humans ; Female ; Algorithms ; Multiple-Instance Learning Algorithms

M4: Multi-proxy multi-gate mixture of experts network for multiple instance learning in histopathology image analysis.

Συγγραφείς: Li J; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China. Electronic address: lijunyu1019@gmail.com., Zhang Y; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China; Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China. Electronic address: zhangye22@mails.ucas.ac.cn., Shu W; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China; College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China., Feng X; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China; College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China., Wang Y; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China; Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China., Yan P; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China., Li X; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China., Sha C; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China. Electronic address: shachulin@him.cas.cn., He M; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China; Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China; College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China. Electronic address: hemin607@163.com.

Πηγή: Medical image analysis [Med Image Anal] 2025 Jul; Vol. 103, pp. 103561. Date of Electronic Publication: 2025 Apr 01.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Neural Networks, Computer* , Image Processing, Computer-Assisted*/methods , Machine Learning* , Neoplasms*/pathology , Neoplasms*/genetics , Neoplasms*/diagnostic imaging , Image Interpretation, Computer-Assisted*/methods, Humans ; Mutation ; Algorithms ; Multiple-Instance Learning Algorithms