Article

Automated Interpretation of Fundus Fluorescein Angiography with Multi-Retinal Lesion Segmentation

2024-12-21

Abstract excerpt

<h4>Purpose</h4> Fundus fluorescein angiography (FFA) is essential for diagnosing and managing retinal vascular diseases, while its evaluation is time-consuming and subject to inter-observer variability. We aim to develop a deep-learning-based model for accurate multi-lesion segmentation for these diseases. <h4>Methods</h4> A dataset comprising 428 standard 55° and 53 ultra-wide-field (UWF) FFA images was labeled...

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Literature Corpus work: 2b136c42-4efa-5d3a-baac-49ee3db19e83
DOI: 10.1101/2024.12.20.24319428

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