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Macular hole detection and segmentation on fundus photography using large multimodal generative models for synthetic

Tae Keun Yoo1,2, Chan Ho Lee3, Cheol-Woon Kim4

  • 1Department of Ophthalmology, Hangil Eye Hospital, 35 Bupyeong-daero, Bupyeong-gu, Incheon, 21388, Republic of Korea. fawoo2@yonsei.ac.kr.

BMC Ophthalmology
|March 17, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Data augmentationDeep learningFundus photographyGenerative modelsMacular holeMultimodal models

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