opthalmology

Classification of Ocular Diseases based on Eye Fundus Images.

This repository contains an image classification project focused on Optical Coherence Tomography (OCT) images. The goal is to classify OCT scans into four different classes: normal, diabetic macular edema (DME), drusen, and choroidal neovascularization (CNV).

Code for "CataractSAM-2: Enhancing Transferability and Real-Time Ophthalmic Surgery Segmentation Through Automated Ground-Truth Generation"

Code implementation for "Deep Learning for Multi-Label Disease Classification of Retinal Images: Insights from Brazilian Data for AI Development in Lower-Middle Income Countries"

Code for the paper, entitled "From the diagnosis of infectious keratitis to discriminating fungal subtypes; A deep learning-based study"

Medblocks Fork of Openeyes to make it more production ready

A tool to elicit smooth pursuit and saccadic eye movements

Rebuilding a web design of an Ophthalmologist to HTML CSS page

Diabetic Retinopathy severity classification using deep learning on retinal fundus images, with Grad-CAM and SHAP explainability for clinical decision-support prototyping.

Create a printable simulation eye from a fundus image

A bot on Twitter to retweet optometry and ophthalmology related material.

work in progress tomograpahy algo

The code for my 2017 publication 'Spatial Entropy Pursuit for Fast and Accurate Perimetry Testing'