Translational vision science & technology
Comparative Evaluation of Multiple Deep Learning Models for Six-Class Keratitis Classification
Par Tan Q, Xu Y, Zhang Y et 3 autres.
Contenu en anglais
Résumé
Purpose
Keratitis can be classified as infectious or noninfectious, with infectious keratitis being a major cause of blindness. In this study, multiple deep learning (DL) models were applied to perform six-class classification of corneal lesions, and their diagnostic performance was systematically compared.
Methods
We analyzed 3797 slit-lamp images from six categories: normal cornea, bacterial keratitis, fungal keratitis, viral keratitis, Acanthamoeba keratitis, and non-infectious keratitis. Convolutional neural network (CNN), transformer, self-supervised, and vision-language models were evaluated at image and patient levels using patient-level splits, with clinician comparison on a 240-image test subset.