: Mention the use of massive datasets (over 53,000 images) and techniques like DCGAN for data augmentation.
: Aimed at reducing the burden on ophthalmologists and speeding up patient treatment. 2. Social Media / Promotional Teaser INAM15 01 mp4
: Reached 90.17% test accuracy in classifying diabetic retinopathy. : Mention the use of massive datasets (over
: A low-complexity, efficient deep learning framework. efficient deep learning framework.