Article

An Open-Source Generalizable Deep Learning Framework for Automated Corneal Segmentation in Anterior Segment Optical Coherence Tomography Imaging

2025-06-20

Abstract excerpt

<h4>Purpose</h4> To develop a deep learning model – Cornea nnU-Net Extractor (CUNEX) – for full-thickness corneal segmentation of anterior segment optical coherence tomography (AS-OCT) images and evaluate its utility in artificial intelligence (AI) research. <h4>Methods</h4> We trained and evaluated CUNEX using nnU-Net on 600 AS-OCT images (CSO MS-39) from 300 patients: 100 normal, 100 keratoconus (KC), and 100 Fu...

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Literature Corpus work: 8b910e9f-836a-55a6-a2be-6ff1a7f60b90
DOI: 10.1101/2025.06.18.25329856

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