Japanese journal of ophthalmology
Advancement of cataract classification with artificial intelligence using anterior segment optical coherence tomography images with self-supervised vision transformer.
Shumpei Takinami, Yuta Ueno, Haruhiro Mori, Yuka Morita, Jun Seita, Tetsuro Oshika
Published: 202610.1007/s10384-025-01323-y
Abstract
PURPOSE: To evaluate the efficacy of a self-supervised learning Vision Transformer (ViT) for classification of the nucleus, cortex, and posterior capsule cataract severity utilizing anterior segment optical coherence tomography (AS-OCT) images. STUDY…
Preview only. Read the full abstract at the source