zzdyyy/Patho-GAN
Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"
This tool helps medical researchers and ophthalmologists understand how AI models diagnose diabetic retinopathy and create realistic synthetic retinal images. It takes an existing retinal fundus image as input and can extract specific disease evidence, showing how the AI makes its prediction. It can also generate new, high-quality fundus images with full control over the location and number of lesions, which is useful for augmenting limited medical datasets.
No commits in the last 6 months.
Use this if you need to interpret the diagnostic decisions of an AI model for diabetic retinopathy or generate synthetic retinal images to expand your training data.
Not ideal if you are looking for a ready-to-use clinical diagnostic tool for patients rather than a research framework for model interpretation and data generation.
Stars
81
Forks
21
Language
Python
License
—
Category
Last pushed
Apr 20, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/zzdyyy/Patho-GAN"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
TorchIO-project/torchio
Medical imaging processing for AI applications.
aleju/imgaug
Image augmentation for machine learning experiments.
makcedward/nlpaug
Data augmentation for NLP
mdbloice/Augmentor
Image augmentation library in Python for machine learning.
BloodAxe/pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming