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[TNSRE 2023] The official PyTorch code for A Skeleton-Based Rehabilitation Exercise Assessment System With Rotation Invariance
This repository provides training and evaluation code for paper titled "Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises" (accepted in IEEE TNSRE)
trying to understand the framework
A framework for quality assessment of exercises in physical rehabilitation based on skeletal joint displacements collected with a motion capture system.
The code of paper "Transformer-based 3D U-Net for Pulmonary Vessel Segmentation and Artery-vein Separation from CT images"
Official repository of the paper "RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification", accepted for publication at Expert Systems with Applicatio…
An implementation of《Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks》
A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"
[JBHI2022] Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation
A basic demo project that shows how to use Thymeleaf with Spring Boot 2
Compute the likeliness of an image region to vessels or ridges
Retinal Lesions (Microaneurysms, Hard Exudates, Soft Exudates, Hemorrhages) Segmentation using Deep Learning Pipeline and Image Processing & Machine Learning Pipeline
PyTorch implementation for our paper (Accepted by Computers in Biology and Medicine): "A Lightweight Network Guided with Differential Matched Filtering for Retinal Vessel Segmentation"
W-shaped deep matched filtering for retinal vessel segmentation
Support repository for the paper "Retinal vessel segmentation based on Fully Convolutional Neural Networks", Expert Systems with Applications, Volume 112, 1 December 2018, Pages 229-242.
Retinal Vessel Segmentation based on Fully Convolutional Networks
Retinal Vessel Segmentation using U-Net architecture. DRIVE and STARE datasets are used.
Accepted by ISBI 2022
An Open-Source Data Mining Library - GitHub Fork
[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
Alzheimer Detection using a Convolutional Neural Network to classify different varying stages of dementia.