Meta / reviews of datasets

• A Catalog of Public Glaucoma Datasets for Machine Learning Applications: A detailed description and analysis of public glaucoma datasets available to machine learning engineers tackling glaucoma-related problems using retinal fundus images and OCT images. LINK ICISDM 2023: 2023 the 7th International Conference on Information System and Data Mining May 10 – 12, 2023Atlanta, USA
• Exploring Publicly Accessible Optical Coherence Tomography Datasets: A Comprehensive Overview – PMC 2024 – August

Datasets

• OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods – Mendeley Data
• Dataset for OCT Classification (50 Normal, 48 AMD & 50 DME) – Hossein Rabbani, PhD, SMIEEE, OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers | Scientific Data
• Retina OCT glaucoma Zenodo
• OCTID: Optical coherence tomography image database – ScienceDirect
• A foundation model for generalizable disease detection from retinal images | Nature

Tools

• oct-viewer – A simple viewer for Optical Coherence Tomography (OCT) volumes (Github repo). – for NUMPY format MHA files
• Hitachi Automatic Segmentation Editor – GitHub
• GitHub – hila-chefer/Transformer-Explainability: [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
• AutoMORPH – GitHub – rmaphoh/AutoMorph: vessel segmentation, artery and vein, optic disc, vascular feature analysis AutoMorph: Automated Retinal Vascular Morphology Quantification via a Deep Learning Pipeline

Codes

• Optical coherence tomography dataset classification – GitHub – MikhailKulyabin/OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
• RETFound – A foundation model for retinal imaging Official repo including a series of retinal foundation models. GitHub – rmaphoh/RETFound_MAE: RETFound – A foundation model for retinal image