A Dual-Path Supplemental Information Learning Architecture for Breast Cancer Ki-67 Status Prediction in T2w MRI-Reference-Cited by-同舟云学术

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A Dual-Path Supplemental Information Learning Architecture for Breast Cancer Ki-67 Status Prediction in T2w MRI

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Multimedia and Expo (ICME)
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Author:

Cai Wentian¹,Cheng Yulin¹,Gao Ying¹,Liu Weixiao²,Xie Xinyan¹,Luo Xiongwen¹,Yang Weixian¹,Liu Zaiyi³,Liang Changhong³

Affiliation:

1. South China University of Technology,School of Computer Science and Engineering,Guangzhou,China

2. The First Affiliated Hospital of Jinan University,Department of Radiology,Guangzhou,China

3. Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application,Guangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219682.pdf?arnumber=10219682

Reference22 articles.

1. Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification

2. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

3. Breast Cancer Detection and Classification using Global Pooling

4. Squeeze-and-Excitation Networks

5. Mammograms Classification Using Gray-level Co-occurrence Matrix and Radial Basis Function Neural Network

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