top of page
Detecting Common Retinal Diseases Through Use of Convolutional Neural Networks
Date: January 2020 - March 2020
Awards: 2020 ISEF Finalist, 2020 Nokia Bell Regional Science Fair: 1st Place Computer Science Category
A deep learning algorithm using the VGG-16 convolutional neural network to classify more than 86,000 Optical Coherence Tomography scans for retinal diseases like Drusen, Choroidal Neovascularization, and Diabetic Macular Edema.
Check Out Project Presentation:
Check Out Written Paper:
bottom of page