"Are Traditional Deep Learning Model Approaches as Effective as a ..."

Samantha Min Er Yew et al. (2025)

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DOI: 10.48550/ARXIV.2501.12016

access: open

type: Informal or Other Publication

metadata version: 2025-02-26

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  - journals/corr/abs-2501-12016
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  - https://dblp.org/rec/journals/corr/abs-2501-12016
Samantha Min Er Yew, Xiaofeng Lei, Jocelyn Hui Lin Goh, Yibing Chen, Sahana Srinivasan, Miao-li Chee, Krithi Pushpanathan, Ke Zou, Qingshan Hou, Zhi Da Soh, Cancan Xue, Marco Chak Yan Yu, Charumathi Sabanayagam, E. Shyong Tai, Xueling Sim, Yaxing Wang, Jost B. Jonas, Vinay Nangia, Gabriel Dawei Yang, Emma Anran Ran, Carol Yim-lui Cheung, Yangqin Feng, Jun Zhou, Rick Siow Mong Goh, Yukun Zhou, Pearse A. Keane, Yong Liu, Ching-Yu Cheng, Yih-Chung Tham:
Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection? CoRR abs/2501.12016 (2025)

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