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 ...
Abstract: Recently, transformers have garnered significant attention due to their exceptional capability to capture long-range dependencies in data. A critical factor contributing to their superior ...
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