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

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...

Full description

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

Internet

https://www.mdpi.com/2304-6732/8/4/118

Similar Items