Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis-Reference-Cited by-同舟云学术

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis

Published:2024-05 Issue:5 Volume:43 Page:1945-1957
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Wang Yan¹^ORCID,Zhen Liangli¹^ORCID,Tan Tien-En²^ORCID,Fu Huazhu¹^ORCID,Feng Yangqin¹^ORCID,Wang Zizhou¹,Xu Xinxing¹^ORCID,Goh Rick Siow Mong¹^ORCID,Ng Yipin¹,Calhoun Claire³^ORCID,Tan Gavin Siew Wei²,Sun Jennifer K.⁴,Liu Yong¹,Ting Daniel Shu Wei²

Affiliation:

1. Institute of High Performance Computing, Agency for Science, Technology and Research, connexis, Singapore

2. Singapore Eye Research Institute, Level 6 Discovery Tower, Singapore

3. Jaeb Center for Health Research, Tampa, FL, USA

4. Joslin Diabetes Center, Beetham Eye Institute, Harvard Department of Ophthalmology, Boston, MA, USA

Funder

Agency for Science, Technology and Research (A*STAR) through its Advanced Manufacturing and Engineering (AME) Programmatic Funding Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10517791/10388423.pdf?arnumber=10388423

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5. Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning

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