TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis-Reference-Cited by-同舟云学术

TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis

Published:2023-04 Issue:4 Volume:42 Page:1083-1094
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Liu Ruhan¹^ORCID,Wang Tianqin²,Li Huating³,Zhang Ping⁴^ORCID,Li Jing²,Yang Xiaokang⁵^ORCID,Shen Dinggang⁶^ORCID,Sheng Bin¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Department of Ophthalmology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

3. Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China

4. Department of Computer Science and Engineering, and the Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA

5. MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China

6. School of Biomedical Engineering, Shanghai Tech University, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Pujiang Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/42/10091712/09956853.pdf?arnumber=9956853

Reference42 articles.

1. A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability

2. Tell Me Where to Look: Guided Attention Inference Network

3. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

4. Attention Branch Network: Learning of Attention Mechanism for Visual Explanation

5. Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images

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