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 goal of the personal protective equipment (PPE) detection at construction sites in this study is to employ contemporary deep learning technology to increase safety and compliance.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results