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: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...
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