An Imbalanced Image Classification Method for the Cell Cycle Phase

An Imbalanced Image Classification Method for the Cell Cycle Phase

The cell cycle is an important process in cellular life. In recent years, some image processing methods have been developed to determine the cell cycle stages of individual cells. However, in most of these methods, cells have to be segmented, and their features need to be extracted. During feature e...

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Bibliographic Details
Main Authors:	Xin Jin, Yuanwen Zou, Zhongbing Huang
Format:	Article
Language:	English
Published:	MDPI AG 2021-06-01
Series:	Information
Subjects:	cell cycle image classification imbalanced image datasets deep learning Wasserstein generative adversarial network-gradient penalty residual network
Online Access:	https://www.mdpi.com/2078-2489/12/6/249

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