An optimized multi-scale dilated attention layer for keratoconus disease classification.
Journal:
International ophthalmology
Published Date:
Jul 30, 2025
Abstract
INTRODUCTION: Keratoconus (KCN) is a progressive and non-inflammatory corneal disorder characterized by thinning and conical deformation of the cornea, resulting in visual impairment. Early and accurate detection is crucial to prevent disease progression. Conventional diagnostic methods are time-consuming and depend on expert evaluation. This study introduces an advanced deep learning (DL) model aimed at automating KCN detection using corneal topography images.
