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

Accurate and rapid screening of adenocarcinoma cells in serous cavity effusion is vital in diagnosing the stage of metastatic tumors and providing prompt medical treatment. However, it is often difficult for pathologists to screen serous cavity effusion. Fixed agglutination cell block can help to im...

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Vydáno v:	Modern pathology Ročník 38; číslo 2; s. 100648
Hlavní autoři:	Zhang, Yupeng, Zhu, Xiaolong, Zhong, Li, Wu, Jingjing, Chen, Jianling, Yang, Hongqin, Zhang, Sheng, Wang, Kun, Zeng, Saifan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States 01.02.2025
Témata:	Adenocarcinoma - diagnosis Adenocarcinoma - pathology Deep Learning Humans Multiple-Instance Learning Algorithms Pleural Effusion, Malignant - pathology Supervised Machine Learning adenocarcinoma in serous cavity effusion deep learning computational pathology fixed agglutination cell block multiple instance learning weak supervision
ISSN:	1530-0285, 1530-0285
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