Recent advances of artificial intelligence (AI) in retinal imaging found its application in two
major categories: discriminative and generative AI. For discriminative tasks, conventional …

Purpose In ophthalmology, artificial intelligence (AI) demonstrates potential in using
ophthalmic imaging across diverse diseases, often matching ophthalmologists' performance …

Glaucoma is the leading cause of irreversible blindness worldwide. The diagnosis process
for glaucoma involves the measurement of the thickness of retinal layers in order to track its …

Convolutional Neural Networks (CNNs) have emerged as powerful tools in ophthalmology
by exhibiting human-level performance in the classification of various ocular conditions and …

Este estudio tuvo como objetivo comparar diferentes métodos de explicación del
comportamiento de modelos de aprendizaje profundo en el procesamiento de imágenes …