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Keratoconus detection of changes using deep learning of colour-coded maps

OBJECTIVE: To evaluate the accuracy of convolutional neural networks technique (CNN) in detecting keratoconus using colour-coded corneal maps obtained by a Scheimpflug camera. DESIGN: Multicentre retrospective study. METHODS AND ANALYSIS: We included the images of keratoconic and healthy volunteers’...

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Detalles Bibliográficos
Autores principales:	Chen, Xu, Zhao, Jiaxin, Iselin, Katja C, Borroni, Davide, Romano, Davide, Gokul, Akilesh, McGhee, Charles N J, Zhao, Yitian, Sedaghat, Mohammad-Reza, Momeni-Moghaddam, Hamed, Ziaei, Mohammed, Kaye, Stephen, Romano, Vito, Zheng, Yalin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BMJ Publishing Group 2021
Materias:	Cornea and Ocular Surface
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278890/ https://www.ncbi.nlm.nih.gov/pubmed/34337155 http://dx.doi.org/10.1136/bmjophth-2021-000824

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