Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness-Reference-Cited by-全球学者库

Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness

Published:2022 Issue: Volume: Page:1-14
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

He Yuting¹^ORCID,Ge Rongjun²,Qi Xiaoming¹^ORCID,Chen Yang³^ORCID,Wu Jiasong³^ORCID,Coatrieux Jean-Louis⁴^ORCID,Yang Guanyu³^ORCID,Li Shuo⁵^ORCID

Affiliation:

1. Ministry of Education, Laboratory of Image Science and Technology and the Key Laboratory of Computer Network and Information Integration, Southeast University, Nanjing, China

2. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. Ministry of Education, the Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, and the Centre de Recherche en Information Biomédicale Sino-Français (CRIBs), Laboratory of Image Science and Technology, the Key Laboratory of Computer Network and Information Integration, Southeast University, Nanjing, China

4. Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing and the Centre de Recherche en Information Biomédicale Sino-Français (CRIBs), Southeast University, Nanjing, China

5. Department of Biomedical Engineering and the Department of Computer and Data Science, Case Western Reserve University, Cleveland, OH, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation

Natural Science Foundation of Jiangsu Province

Excellence Project Funds of Southeast University

CAAI-Huawei MindSpore Open Fund

Scientific Research Foundation of Graduate School of Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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