Clinical-grade endometrial cancer detection system via whole-slide images using deep learning

Clinical-grade endometrial cancer detection system via whole-slide images using deep learning

The accurate pathological diagnosis of endometrial cancer (EC) improves the curative effect and reduces the mortality rate. Deep learning has demonstrated expert-level performance in pathological diagnosis of a variety of organ systems using whole-slide images (WSIs). It is urgent to build the deep...

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Bibliographic Details
Main Authors: Xiaobo Zhang, Wei Ba, Xiaoya Zhao, Chen Wang, Qiting Li, Yinli Zhang, Shanshan Lu, Lang Wang, Shuhao Wang, Zhigang Song, Danhua Shen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Oncology
Subjects:
endometrial cancer
deep learning
artificial intelligence
convolutional neural network
data analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1040238/full

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