Supplementary Material for: Deep Learning-Based Detection of Ocular Surface Squamous Neoplasia from Ocular Surface Images
Version 1Purpose: Ocular Surface squamous neoplasia (OSSN) is a broad entity encompassing a spectrum of squamous neoplasms of conjunctiva and cornea. This study aims to explore the utility of Artificial Intelligence (AI) models in detecting OSSN from slit lamp (SL) images. Methods: This is a retrospective observational study. Slit lamp (SL) images of OSSN disease, non-OSSN ocular surface lesions (OOSD) and normal ocular surfaces (N) were collected (2013-2023). Images with minimum resolution of 1024 x 102
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Purpose: Ocular Surface squamous neoplasia (OSSN) is a broad entity encompassing a spectrum of squamous neoplasms of conjunctiva and cornea. This study aims to explore the utility of Artificial Intelligence (AI) models in detecting OSSN from slit lamp (SL) images. Methods: This is a retrospective observational study. Slit lamp (SL) images of OSSN disease, non-OSSN ocular surface lesions (OOSD) and normal ocular surfaces (N) were collected (2013-2023). Images with minimum resolution of 1024 x 102