Comparison of self-supervised learning methods for optical coherence tomography image classification-Reference-Cited by-同舟云学术

Comparison of self-supervised learning methods for optical coherence tomography image classification

Published:2024-05-17 Issue: Volume: Page:41-46
ISSN:
Container-title:Proceedings of the 2024 8th International Conference on Medical and Health Informatics
language:
Short-container-title:

Author:

Shim Sungho¹^ORCID,Yang Hyun-Lim²^ORCID,Kim Min-Soo³^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea

2. Office of Hospital Information, Seoul National University Hospital, Republic of Korea

3. School of Computing, Korea Advanced Institute of Science and Technology, Republic of Korea

Funder

MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITP (Institute of Information & Communications Technology Planning & Evaluation)

National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673971.3673989

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