Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification-Reference-Cited by-同舟云学术

Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification

Published:2024-02 Issue:1 Volume:8 Page:828-839
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Lai Qi¹^ORCID,Zhou Jianhang¹^ORCID,Gan Yanfen²,Vong Chi-Man¹^ORCID,Chen C.L. Philip³^ORCID

Affiliation:

1. Department of Computer and Information Science, University of Macau, Macau, China

2. School of Computer Science, South China Business College, Guangdong University of Foreign Studies, Guangzhou, China

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

Funder

Science and Technology Development Fund, Macau SAR

ShenZhen Fundamental Research Program

Universidade de Macau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

Reference36 articles.

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