emirkaanozdemr/Retina-Classification-Using-DCGAN-and-CNN
In this project, I aim to develop a robust system to classify real and synthetic retina images using advanced machine learning. I will generate synthetic retina images from a single eye photo using Deep Convolutional Generative Adversarial Networks (DCGAN) and classify them with a Convolutional Neural Network (CNN).
No commits in the last 6 months.
Stars
9
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 08, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/emirkaanozdemr/Retina-Classification-Using-DCGAN-and-CNN"
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
javathunderman/diabetic-retinopathy-screening
Diabetic retinopathy screening w/ Tensorflow.
JordiCorbilla/ocular-disease-intelligent-recognition-deep-learning
ODIR-2019: Ocular Disease Intelligent Recognition is a project leveraging state-of-the-art deep...
koriavinash1/Optic-Disk-Cup-Segmentation
Optic Disc and Optic Cup Segmentation using 57 layered deep convolutional neural network