Digital Image Processing and Development of Machine Learning Models for the Discrimination of Corneal Pathology: An Experimental Model

Machine learning (ML) has an impressive capacity to learn and analyze a large volume of data. This study aimed to train different algorithms to discriminate between healthy and pathologic corneal images by evaluating digitally processed spectral-domain optical coherence tomography (SD-OCT) corneal i...

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Bibliographic Details

Published in:	Photonics
Main Authors:	Andres Bustamante-Arias, Abbas Cheddad, Julio Cesar Jimenez-Perez, Alejandro Rodriguez-Garcia
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Subjects:	artificial intelligence machine learning cornea SD-OCT keratoconus ectasia
Online Access:	https://www.mdpi.com/2304-6732/8/4/118