IEEE

Automated Retinal Disease Detection: VGG16-Based Deep Learning Approach for OCT Image Classification

Abstract: This study aims to develop a robust deep learning model using the VGG16 architecture to accurately classify Retinal OCT images into four categories: CNV, DME, DRUSEN, and NORMAL. The dataset ...
IEEE

Self-Correlation Network With Triple Contrastive Learning for Hyperspectral Image Classification With Noisy Labels

Abstract: Data quality is essential for training deep learning models, and recently, the challenge of noisy labels in hyperspectral image (HSI) classification has attracted considerable attention.