A Hybrid Transformers-based Convolutional Neural Network Model for Keratoconus Detection in Scheimpflug-based Dynamic Corneal Deformation Videos

A Hybrid Transformers-based Convolutional Neural Network Model for Keratoconus Detection in Scheimpflug-based Dynamic Corneal Deformation Videos

Purpose: To assess the performance of a hybrid Transformer-based convolutional neural network (CNN) model for automated detection of keratoconus in stand-alone Scheimpflug-based dynamic corneal deformation videos (DCDVs). Methods: We used transfer learning for feature extraction from DCDVs. These...

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Bibliographic Details
Main Authors: Hazem Abdelmotaal, Rossen Mihaylov Hazarbasanov, Ramin Salouti, M. Hossein Nowroozzadeh, Suphi Taneri, Ali H. Al-Timemy, Alexandru Lavric, Hidenori Takahashi, Siamak Yousefi
Format: Article
Language:English
Published: Knowledge E 2025-06-01
Series:Journal of Ophthalmic & Vision Research
Subjects:
keratoconus
convolutional neural network (CNN)
Scheimpflug-based dynamic corneal deformation videos (DCDV)
Online Access:https://knepublishing.com/index.php/JOVR/article/view/17716
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