Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets-Reference-Cited by-同舟云学术

Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets

Author:

Li Yiyue¹^ORCID,Qian Guangwu²,Jiang Xiaoshuang³,Jiang Zekun¹^ORCID,Wen Wen⁴,Zhang Shaoting⁵,Li Kang⁶^ORCID,Lao Qicheng⁷^ORCID

Affiliation:

1. Department of Pathology, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China

2. Department of Computer Science, Sichuan University-Pittsburgh Institute, Sichuan University, Chengdu, China

3. Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China

4. Department of Ultrasound, West China Hospital, Sichuan University, Chengdu, China

5. Shanghai Artificial Intelligence Laboratory, Shanghai, China

6. West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China

7. School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China

Funder

National Key Research and Development Program of China

1.3.5 Project for Disciplines of Excellence

West China Hospital, Sichuan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference60 articles.

3. Survey of resampling techniques for improving classification performance in unbalanced datasets;More;arXiv:1608.06048,2016

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