Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images-Reference-Cited by-同舟云学术

Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images

Author:

Li Jingchen¹^ORCID,Shi Haobin¹^ORCID,Chen Wenbai²,Liu Naijun³,Hwang Kao-Shing⁴^ORCID

Affiliation:

1. School of Computer Science, Northwestern Polytechnical University, Xi’an, China

2. School of Automation, Beijing Information Science and Technology University, Beijing, China

3. Department of Computer Science and Technology, Tsinghua University, Beijing, China

4. Department of Electrical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

Funder

Major Research Project of the National Natural Science Foundation of China

National Natural Science Foundation of China

Open Research Projects of Zhejiang Laboratory

Shaanxi Key Research and Development Program of China

Chinese Association for Artificial Intelligence (CAAI)-Huawei MindSpore Open Fund

Doctor’s Scientific Research and Innovation Foundation of Northwestern Polytechnical University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

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