A semi-supervised learning approach with consistency regularization for tumor histopathological images analysis

A semi-supervised learning approach with consistency regularization for tumor histopathological images analysis

IntroductionManual inspection of histopathological images is important in clinical cancer diagnosis. Pathologists implement pathological diagnosis and prognostic evaluation through the microscopic examination of histopathological slices. This entire process is time-consuming, laborious, and challeng...

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Bibliographic Details
Main Authors: Yanyun Jiang, Xiaodan Sui, Yanhui Ding, Wei Xiao, Yuanjie Zheng, Yongxin Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Oncology
Subjects:
deep learning
semi-supervised learning
data augmentation
consistency regularizaton
whole-slide images
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1044026/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.1044026/full

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