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An Efficient and Interpretable Foundation Model for Retinal Image Analysis in Disease Diagnosis

2025-02-21

Abstract excerpt

Artificial intelligence (AI) foundation models for colour fundus photography (CFP) have been extensively studied and demonstrated great potential for advancing ocular and systemic health screening. However, their high computational demands and limited clinical interpretability constrain real-world clinical application. These models rely on self-supervised learning with massive unlabeled datasets to address the sca...

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Literature Corpus work
bfb71e58-1143-5f1c-92a2-24f7c5e6d3c1
DOI
10.1101/2025.02.19.25322447
Open publication

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An Efficient and Interpretable Foundation Model for Retinal Image Analysis in Disease DiagnosisDOI 10.1101/2025.02.19.25322447
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