Weakly Supervised Multiple Instance Learning Model With Generalization Ability for Clinical Adenocarcinoma Screening on Serous Cavity Effusion Pathology.

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作者： Yupeng,Zhang ^[1] ; Xiaolong,Zhu ^[1] ; Li,Zhong ^[1] ; Jingjing,Wu ^[2] ; Jianling,Chen ^[1] ; Hongqin,Yang ^[1] ; Sheng,Zhang ^[2] ; Kun,Wang ^[3] ; Saifan,Zeng ^[4]

作者单位： Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China. ^[1] Department of Pathology, the First Affiliated Hospital, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China. ^[2] Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China. Electronic address: kwang@fjnu.edu.cn. ^[3] Department of Pathology, the First Affiliated Hospital, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China. Electronic address: Zsf19790520@fjmu.edu.cn. ^[4]

关键词 adenocarcinoma in serous cavity effusion computational pathology deep learning fixed agglutination cell block multiple instance learning weak supervision

DOI 10.1016/j.modpat.2024.100648

PMID 39515585

发布时间 2024-12-07

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