Reliable Mutual Distillation for Medical Image Segmentation Under Imperfect Annotations-Reference-Cited by-同舟云学术

Reliable Mutual Distillation for Medical Image Segmentation Under Imperfect Annotations

Author:

Fang Chaowei¹^ORCID,Wang Qian¹,Cheng Lechao²,Gao Zhifan³^ORCID,Pan Chengwei⁴^ORCID,Cao Zhen¹,Zheng Zhaohui⁵,Zhang Dingwen⁵^ORCID

Affiliation:

1. School of Artificial Intelligence, Xidian University, Xi’an, China

2. Zhejiang Laboratory, Hangzhou, China

3. School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China

4. Institute of Artificial Intelligence, Beihang University, Beijing, China

5. Xijing Hospital, The Fourth Military Medical University, Xi’an, China

Funder

National Natural Science Foundation of China

Key-Area Research and Development Program of Shaanxi Province

Key-Area Research and Development Program of Guangdong Province

Exploratory Research Project of Zhejiang Laboratory

Zhejiang Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

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