Self-supervised category selective attention classifier network for diabetic macular edema classification.
Journal:
Acta diabetologica
Published Date:
Mar 23, 2024
Abstract
AIMS: This study aims to develop an advanced model for the classification of Diabetic Macular Edema (DME) using deep learning techniques. Specifically, the objective is to introduce a novel architecture, SSCSAC-Net, that leverages self-supervised learning and category-selective attention mechanisms to improve the precision of DME classification.