A deep learning-based computer-aided diagnosis system for detecting atypical endometrial hyperplasia and endometrial cancer through hysteroscopy

A deep learning-based computer-aided diagnosis system for detecting atypical endometrial hyperplasia and endometrial cancer through hysteroscopy

Summary: Timely diagnosis of endometrial cancer (EC) and atypical endometrial hyperplasia (AEH) is crucial, yet traditional hysteroscopy faces accuracy challenges. This study introduces ECCADx, a deep learning-based computer-aided diagnosis system utilizing contrastive learning for hysteroscopic ide...

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Bibliographic Details
Main Authors: Wenwen Wang, Yuyang Cai, Zhe Guo, Aihua Zhao, Wenqing Ma, Wuliang Wang, Shixuan Wang, Xin Zhu, Xin Du, Wenfeng Shen
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:iScience
Subjects:
Computer-aided diagnosis method
Cancer
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004225013069
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