Computer-aided diagnosis of keratoconus through VAE-augmented images using deep learning

Abstract Detecting clinical keratoconus (KCN) poses a challenging and time-consuming task. During the diagnostic process, ophthalmologists are required to review demographic and clinical ophthalmic examinations in order to make an accurate diagnosis. This study aims to develop and evaluate the accur...

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Bibliographic Details
Main Authors: Zhila Agharezaei, Reza Firouzi, Samira Hassanzadeh, Siamak Zarei-Ghanavati, Kambiz Bahaadinbeigy, Amin Golabpour, Reyhaneh Akbarzadeh, Laleh Agharezaei, Mohamad Amin Bakhshali, Mohammad Reza Sedaghat, Saeid Eslami
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-46903-5