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

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

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

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

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

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

Actively maintained and comprehensive public glaucoma dataset catalog

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

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

Python package to read Heidelberg Spectralis files

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

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

Retinal image analysis in MATLAB

Task Scheduling For Heterogeneous Computing System

A mulit-modal annotation tool for retinal imaging data

Python wrapper for Thorlabs SpectralRadar SDK C library using ctypes

A library for converting numbers to any non-integer/decimal (or just integer) base.

Personal paper list on OCT segmentation

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