Multi-classification of ocular diseases using ODIR-5K and uses explainable AI methods to improve the transparency of computer aided diagnostic systems.
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Aug 18, 2024 - Jupyter Notebook
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ocular-disease-recognition
Here are 10 public repositories matching this topic...
Ocular Disease Intelligent Recognition (ODIR) is a structured ophthalmic database of 5,000 patients with age, color fundus photographs from left and right eyes and doctors' diagnostic keywords from doctors.
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Jun 21, 2024 - Jupyter Notebook
Fundus image analysis for ocular disease recognition using deep learning. This repository implements image preprocessing, MIRNet enhancement, and transfer learning with ResNet50 and VGG16 for classifying multiple eye diseases. Keras Tuner is used for hyperparameter optimization.
python computer-vision deep-learning tensorflow image-processing convolutional-neural-networks vgg16 class-imbalance data-augmentation resnet-50 mirnet ocular-disease-recognition
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Jun 30, 2025 - Jupyter Notebook
ERDES: A Benchmark Video Dataset for Retinal Detachment and Macular Status Classification in Ocular Ultrasound (Nature Scientific Data 2025)
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Apr 4, 2026 - Python
Framework using UMAP-DBSCAN for unsupervised discovery of multi-modal Hidden Bias Subgroups (HBSs) in AI failure spaces. Implements a scalable Multi-Domain MMD Objective to mitigate latent Acquisition Bias and enhance robustness in clinical Ocular Disease Recognition (ODR).
computer-vision deep-learning representation-learning unsupervised-learning maximum-mean-discrepancy dbscan umap domain-adaptation explainable-ai out-of-distribution medical-ai bias-mitigation clinical-ai healthcare-ai robust-ai trustworthy-ai ocular-disease-recognition fair-ai latent-bias image-acquisition-bias
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Dec 22, 2025 - Jupyter Notebook
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Nov 22, 2022 - Jupyter Notebook
A state-of-the-art ocular diagnosis tool leveraging biomimetic machine learning to analyze eye movement patterns and predict ocular conditions with clinical-grade accuracy.
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Jul 23, 2025 - Python
deep learning model for the detection of cataracts in fundus images!
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Jun 26, 2023 - Jupyter Notebook
Deep learning project for multi-class classification of ocular diseases using fundus images and EfficientNetV2B2 with transfer learning on the ODIR dataset.
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Mar 23, 2026 - Jupyter Notebook
👁️ Classify multiple retinal diseases from fundus images using advanced Vision Transformer models for accurate and efficient diagnosis.
deep-learning pytorch transfer-learning representation-learning maximum-mean-discrepancy out-of-distribution bias-mitigation pytorch-lightning clinical-ai healthcare-ai deit swin-transformer ocular-disease-recognition image-acquisition-bias retinal-disease
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Apr 22, 2026 - TypeScript
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