Semantic-Oriented Visual Prompt Learning for Diabetic Retinopathy Grading on Fundus Images-Reference-Cited by-同舟云学术

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Semantic-Oriented Visual Prompt Learning for Diabetic Retinopathy Grading on Fundus Images

Published:2024-08 Issue:8 Volume:43 Page:2960-2969
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Zhang Yuhan¹^ORCID,Ma Xiao²^ORCID,Huang Kun²^ORCID,Li Mingchao²^ORCID,Heng Pheng-Ann³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong, China

2. Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

3. Department of Computer Science and Engineering, Institute of Medical Intelligence and XR, The Chinese University of Hong Kong, Hong Kong, China

Funder

Research Grants Council of the Hong Kong Special Administrative Region, China

Innovation and Technology Commission

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10619995/10487944.pdf?arnumber=10487944

Reference59 articles.

1. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045

2. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

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

4. Diabetic retinopathy: pathogenesis, clinical grading, management and future developments

5. MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification

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