Improving Cancer Metastasis Detection via Effective Contrastive Learning

Improving Cancer Metastasis Detection via Effective Contrastive Learning

The metastasis detection in lymph nodes via microscopic examination of H&E stained histopathological images is one of the most crucial diagnostic procedures for breast cancer staging. The manual analysis is extremely labor-intensive and time-consuming because of complexities and diversities of h...

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Bibliographic Details
Main Authors: Haixia Zheng, Yu Zhou, Xin Huang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Mathematics
Subjects:
convolutional neural network
contrastive learning
self-supervision
deep learning
breast cancer detection
Online Access:https://www.mdpi.com/2227-7390/10/14/2404

Internet

https://www.mdpi.com/2227-7390/10/14/2404

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