Generative adversarial network based data augmentation to improve cervical cell classification model

Generative adversarial network based data augmentation to improve cervical cell classification model

The survival rate of cervical cancer can be improved by the early screening. However, the screening is a heavy task for pathologists. Thus, automatic cervical cell classification model is proposed to assist pathologists in screening. In cervical cell classification, the number of abnormal cells is s...

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Bibliographic Details
Main Authors:	Suxiang Yu, Shuai Zhang, Bin Wang, Hua Dun, Long Xu, Xin Huang, Ermin Shi, Xinxing Feng
Format:	Article
Language:	English
Published:	AIMS Press 2021-04-01
Series:	Mathematical Biosciences and Engineering
Subjects:	cervical cell classification data augmentation generative adversarial network (gan) deep learning
Online Access:	http://www.aimspress.com/article/doi/10.3934/mbe.2021090?viewType=HTML

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