Application of EfficientNet‐B0 and GRU‐based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions

Abstract Background Colposcopy is indispensable for the diagnosis of cervical lesions. However, its diagnosis accuracy for high‐grade squamous intraepithelial lesion (HSIL) is at about 50%, and the accuracy is largely dependent on the skill and experience of colposcopists. The advancement in computa...

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发表在:	Cancer Medicine
Main Authors:	Xiaoyue Chen, Xiaowen Pu, Zhirou Chen, Lanzhen Li, Kong‐Nan Zhao, Haichun Liu, Haiyan Zhu
格式:	文件
语言:	英语
出版:	Wiley 2023-04-01
主题:	artificial intelligence (AI) cervical cancer colposcopy precancerous cervical lesions
在线阅读:	https://doi.org/10.1002/cam4.5581