Breast cancer histopathological image classification using attention high‐order deep network

Author:

Zou Ying1ORCID,Zhang Jianxin2ORCID,Huang Shan2,Liu Bin34

Affiliation:

1. Key Lab of Advanced Design and Intelligence Computing (Ministry of Education) Dalian University Dalian China

2. School of Computer Science and Engineering Dalian Minzu University Dalian China

3. International School of Information Science & Engineering (DUT‐RUISE) Dalian University of Technology Dalian China

4. Key Lab of Ubiquitous Network and Service Software of Liaoning Province Dalian University of Technology Dalian China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Reference51 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

2. Feature Selection in Computer-Aided Breast Cancer Diagnosis via Dynamic Contrast-Enhanced Magnetic Resonance Images

3. Saving women's lives: strategies for improving breast cancer detection and diagnosis;Joy JE;J Laryngol Otol,2005

4. Pathological brain detection based on AlexNet and transfer learning

5. Detection of abnormal brain in mri via improved alexnet and elm optimized by chaotic bat algorithm;Lu S;Neural Comput Appl,2020

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