Code for the paper "OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing"
-
Updated
Aug 2, 2025 - Python
#
retinal-image-analysis
Here are 4 public repositories matching this topic...
Code for "robust and efficient computation of retinal fractal dimension through deep approximation"
-
Updated
Oct 15, 2024 - Jupyter Notebook
Built an end-to-end deep learning pipeline using ResNet-50 to classify retinal images into five stages of Diabetic Retinopathy. Applied transfer learning, image preprocessing, and AUC-based evaluation on the APTOS 2019 Kaggle dataset, achieving a 94% validation AUC—offering real-world potential in clinical diagnosis automation.
computer-vision deep-learning tensorflow keras medical-imaging image-classification transfer-learning data-augmentation cnn-model clinical-decision-support multi-class-classification optical-imaging diabetic-retinopathy resnet50 early-detection medical-diagnosis healthcare-ai retinal-image-analysis aptos2019 auc-evaluation
-
Updated
Mar 12, 2026 - Python
StageMamba is a deep learning framework for multi-class eye disease classification from retinal fundus images. It combines EfficientNet-B4, Multi-Level Feature Fusion (MLFF), and Mamba-based Vision State Space blocks to capture both local retinal details and global disease patterns, achieving robust and efficient diagnosis across 10 eye disease
deep-neural-networks computer-vision deep-learning pytorch medical-imaging image-classification transfer-learning state-space-models feature-fusion medical-ai healthcare-ai efficientnet-b4 retinal-image-analysis fundus-image-classification vision-mamba eye-disease-classification
-
Updated
Jun 14, 2026 - Python
Improve this page
Add a description, image, and links to the retinal-image-analysis topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the retinal-image-analysis topic, visit your repo's landing page and select "manage topics."