TaoH's repositories
VesselSeg-1
DenseNet Parallel Branch Retina (DenseNetPBR) for concurrent segmentation and classification experiments.
Medical-Data-Visualization-3D
This is a medical data visualization program. This takes in some medical DICOM, MRI, CT data and produces 3D model. There are also other tools included such as image scroller, image segmentation, brain 3d model, bone 3d model visualizer.
Medical-Image-Processing
Code for Matlab and ITK, segmentation of the liver using the graph cut theory and 3D rendering of abdomen and liver
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
3D_Unet_Vessel_segmentation
Part of research code
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
Curved-Projection-Reformation-CPR-
Curved Projection Reformation
CVPR2019-Code
CVPR 2019 Paper with Code
ITK-BWA-RF_segmentationinterpolation
Fast manual segmentation of 3D datasets using contour and intensity guided interpolation
ITKThickness3D
An ITK module to compute 3D thickness
machine-learning-deep-learning-notes
机器学习、深度学习的学习路径及知识总结
MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
PlotNeuralNet
Latex code for making neural networks diagrams
pytools-lib
A general library of python tools
pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
pytorch-receptive-field
Compute CNN receptive field size in pytorch in one line
Segmentation_Interface
Simple interface of medical imaging processing
simple-centerline-extraction
simple-centerline-extraction
skeleton-GT-DRIVE-GUFI-dataset
Ground-truths manually created for DRIVE and GUFI datasets
surface-distance
Library to compute surface distance based performance metrics for segmentation tasks.
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
TubeTK-tre2matrix
将TubeTK平台提供的血管标注文件(.tre)转换为三维体素格式
UNet-Hub
UNet Hub
Vessel-Segmentation-MR-Registration
The code in this repository is from my master thesis. This project aims to automatically segment carotid from 3D MR brain image, and use the segmented carotid to extract Time-Activity-Curve from PET images. It mainly involves 3D image coregistration, vessel segmentation, partial valume correction.
Vessel_Surface_Reconstruction-C
Blood vessel surface reconstruction from vessel center skeleton using VTK