A Deep Feature Fusion of Improved Suspected Keratoconus Detection with Deep Learning

Diagnostics, Journal Year: 2023, Volume and Issue: 13(10), P. 1689 - 1689

Published: May 10, 2023

Detection of early clinical keratoconus (KCN) is a challenging task, even for expert clinicians. In this study, we propose deep learning (DL) model to address challenge. We first used Xception and InceptionResNetV2 DL architectures extract features from three different corneal maps collected 1371 eyes examined in an eye clinic Egypt. then fused using detect subclinical forms KCN more accurately robustly. obtained area under the receiver operating characteristic curves (AUC) 0.99 accuracy range 97-100% distinguish normal with established KCN. further validated based on independent dataset 213 Iraq AUCs 0.91-0.92 88-92%. The proposed step toward improving detection

Language: Английский

Keratoconus Eye Disease Detection Using CNN with VGG-19

Lecture notes in electrical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 513 - 525

Published: Dec. 14, 2024

Language: Английский