Ocular Disease Recongnition using SwAV
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Updated
Jun 10, 2023 - Python
Ocular Disease Recongnition using SwAV
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"
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 the paper, entitled "From the diagnosis of infectious keratitis to discriminating fungal subtypes; A deep learning-based study"
Rebuilding a web design of an Ophthalmologist to HTML CSS page
The code for my 2017 publication 'Spatial Entropy Pursuit for Fast and Accurate Perimetry Testing'
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