Histopathological image classification through discriminative feature learning and mutual information-based multi-channel joint sparse representation-Reference-Cited by-同舟云学术

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Histopathological image classification through discriminative feature learning and mutual information-based multi-channel joint sparse representation

Published:2020-07 Issue: Volume:70 Page:102799
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Li Xiao.,Tang Hongzhong.,Zhang Dongbo.,Liu Ting.,Mao Lizhen.,Chen Tianyu.

Funder

National Natural Science Foundation in china

Natural Science Foundation of Hunan Province in China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference59 articles.

1. Histopathological image analysis: A review;Gurcan;IEEE Rev. Biomed. Eng.,2009

2. Breast cancer histopathology image analysis: A review;Veta;IEEE Trans. Biomed. Eng.,2014

3. Dielectric properties of breast carcinoma and the surrounding tissues;Surowiec;IEEE Trans. Biomed. Eng.,1988

4. Automated histology analysis: Opportunities for signal processing;McCann;IEEE Signal Process. Mag.,2015

5. Image analysis and machine learning in digital pathology: Challenges and opportunities;Madabhushi;Med. Image Anal.,2016

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