libra33a/retinopathy-ai
👁️ Detect Diabetic Retinopathy from retinal images using a CNN model in PyTorch, ensuring early intervention and reducing vision loss risks.
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/libra33a/retinopathy-ai"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
rsk97/Diabetic-Retinopathy-Detection
DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN...
cauchyturing/kaggle_diabetic_RAM
Extended Retinopathy Detection Challenge with the Regression Activation Map for visual explaination
JordiCorbilla/ocular-disease-intelligent-recognition-deep-learning
ODIR-2019: Ocular Disease Intelligent Recognition is a project leveraging state-of-the-art deep...
javathunderman/diabetic-retinopathy-screening
Diabetic retinopathy screening w/ Tensorflow.
koriavinash1/Optic-Disk-Cup-Segmentation
Optic Disc and Optic Cup Segmentation using 57 layered deep convolutional neural network