Utilizing artificial intelligence for the diagnosis of ocular surface squamous neoplasia with ultrasound biomicroscopy images

Kubra Serbest Ceylanoglu, Zhao Zhenyang, Bernadete Ayres, Yike Li, Hakan Demirci

Published: 01 Apr 2026, Last Modified: 24 Apr 2026Graefe's Archive for Clinical and Experimental OphthalmologyEveryoneRevisionsCC BY-SA 4.0
Abstract: This study aims to develop an artificial intelligence (AI) model to assist ophthalmologists in distinguishing ocular surface squamous neoplasia (OSSN) from benign ocular surface lesions using ultrasound biomicroscopy (UBM) images.
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