Deep Learning for the Detection of Corneal Perforation on Anterior-Segment Optical Coherence Tomography in Microbial Keratitis

<i>Purpose</i>: The purpose of this study was to develop and evaluate deep learning models for automated detection of corneal perforation in microbial keratitis using anterior segment optical coherence tomography (ASOCT) images. <i>Methods</i>: We enrolled 150 patients with microbiologically confirm...

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Autores principales:	Lucia H. Rhode, Kamini N. Reddy, Folahan Ibukun, Subeesh Kuyyadiyil, Elesh Jain, Gautam S. Parmar, Rama Chellappa, Nakul S. Shekhawat
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2026-05-01
Colección:	Bioengineering
Materias:	anterior segment optical coherence tomography microbial keratitis corneal perforation deep learning artificial intelligence
Acceso en línea:	https://www.mdpi.com/2306-5354/13/6/649
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