Tools for extracting the raw optical coherence tomography (OCT) and fundus data from proprietary file formats.

OCTproZ is an open source software for optical coherence tomography processing and visualization.

Multi-Scale GCN-Assisted Two-Stage Network for Joint Segmentation of Retinal Layers and Disc in Peripapillary OCT Images

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

A python package to read, analyse and visualize OCT and fundus data from various sources.

A pytorch implementation of a darkent trained yolov4-tiny model that can detect number plates and helmets if a number plate is detected it is passed through an OCR to recognize the number

Actively maintained and comprehensive public glaucoma dataset catalog

Three MIP models for optimal classification tree: OCT, binOCT, flowOCT

[TMI 2019] Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification

Official repository of the paper "MIRAGE: A multimodal foundation model and benchmark for comprehensive retinal OCT image analysis", published in npj Digital Medicine (2025).

Retinal image analysis in MATLAB

Personal paper list on OCT segmentation

Image segmentation of retinal analysis with optical coherence tomography. OCT 视网膜断层图的图像分割程序。

Tool for the surface annotation of retinal Optical Coherence Tomography (OCT) volumes

A mulit-modal annotation tool for retinal imaging data

No description provided.

Python package to read Heidelberg Spectralis files

Segmentation and analysis of choroid and retinal layers from OCT b-scans

a platform independent open source tool for open OCT images and create different labels on it

Windows desktop application for control of SD-OCT imaging systems

A graphical user interface for deep learning intravascular ultrasound and optical coherence tomography segmentation and gating in coronary artery anomalies and coronary artery disease

Task Scheduling For Heterogeneous Computing System

"Transformer-based end-to-end classification of variable-length volumetric data" that will appear in MICCAI 2023.

A command line tool for converting optical coherence tomography angiography (OCTA) data.

The COG DOCT-CG library is a Python library which provides the classes and functions to compute several dynamic optical coherence tomography (DOCT) contrasts from a time-sequence of linear-scale OCT intensity images.

[AISY] Self-Supervised Learning-Based Framework for Speckle Reduction of Optical Coherence Tomography Images Using Frame Interpolation

MARIO Challenge MICCAI 2024

TINC (MICCAI 2022) official code

Minimal working examples for "A guide to dynamic OCT data analysis"

OCT-A ANALYSIS is an ImageJ macro that automates operations to analyze OCT-A angiograms. It is especially useful for case series studies. ➔Accelerate data collection ➔Improve the reproducibility of results