DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,
License: MIT License
Diabetic retinopathy is a condition suffered by people who have diabeties, which leads to permenent blindness if not treated in time.
We propose a novel and efficient method to diagnose retinopathy from retinal fundas images using SVM and KNN algorithms.
We also try out deep learning based solutions with grad cam scores to show the area of interest from the model pov.
This project was selected for the Google AI ML Mentorship Bootcamp as one among the 20 projects from around India.
Can you please post the dataset you have used for this work sir?
In the DR.ipynb file, once you allow the access for third party applications in google colab, the 'No such directory found' error pops up.
Could you please look into the issue or have the developer to check if they still have that directory mounted in their drive?
Could you please provide the link to the dataset?
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