Breast cancer image classification via multi-network features and dual-network orthogonal low-rank learning

Breast cancer image classification via multi-network features and dual-network orthogonal low-rank learning

Histopathological image analysis is an important technique for early diagnosis and detection of breast cancer in clinical practice. However, it has limited efficiency and thus the detection of breast cancer is still an open issue in medical image analysis. To improve the early diagnostic accuracy of...

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Bibliographic Details
Main Authors: Wang, Yongjun, Lei, Baiying, Elazab, Ahmed, Tan, Ee-Leng, Wang, Wei, Huang, Fanglin, Gong, Xuehao, Wang, Tianfu
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Electrical and electronic engineering
Breast Cancer Image Classification
Deep Convolutional Neural Network
Online Access:https://hdl.handle.net/10356/145755

Internet

https://hdl.handle.net/10356/145755

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