Retina blood vessel segmentation with a convolutional neural network

Up and running with small Docker environments

Fast high-level web crawling Ruby framework

Open source project displaying live aircrafts, ships or trackers on 2D/3D map. Browse through the data based on a particular aircraft, airline, airport, tracker or vessel to search through the database or see extensive statistics. Can use ADS-B in SBS1 format (dump1090, Radarcape,...), VRS, VA (VATSIM, IVAO whazzup.txt, phpvms,...), ACARS (acarsdec, acarsdeco2), APRS, AIS as datasource.

Retinal vessel segmentation toolkit based on pytorch

A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2

🦾 A personal C2 platform for Physical AI. Connect streams. Detect events. Control your world.

The open source code of SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation.

(WIP) Framework-agnostic tool for building & deploying fast apps/docs. Powered by Vite & Vercel.

A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"

Development environment setup automation

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')

This package contains plugins that support the simulation of waves and surface vessels in Gazebo.

A foundation model for universal 3D blood vessel segmentation. Paper accepted @ CVPR25.

[JBHI2022] Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation

vessel segmentation, artery and vein, optic disc, vascular feature analysis

Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

Medical image segmentation ( Eye vessel segmentation)

An open-source application for the analysis and visualization of segmented vasculature datasets

No description available

lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.

A deformable-Unet architecture for retinal vessel segmentation

No description available

Desktop wallet for the Hive blockchain

[MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1.

The original package manager for Motoko

A "tunnel" game written in Elm!

Retinal vessel segmentation using U-NET, Res-UNET, Attention U-NET, and Residual Attention U-NET (RA-UNET)

IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. High-accuracy medical retina (eye) image segmentation.