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flower

Flower - A Friendly Federated Learning Framework

freect

FreeCT is open source reconstruction software for clinical 3rd generation, fan-beam CT

funwithwebgl2

Fun with WebGL 2.0 Youtube Tutorial Series

gvxr-cmpb

Simulation of X-ray projections on GPU: benchmarking gVirtualXray with clinically realistic phantoms

heltomo

HelTomo - Helsinki Tomography Toolbox

hiphop_2d3dregistration

2D/3D registration between CT/MRI or STL models and X-ray images (November 2018)

hsuantienlin_machinelearning

leg-length-discrepancy-study

lung-segmentation

Lung segmentation for chest X-Ray images

matgeom

Matlab geometry toolbox for 2D/3D geometric computing

mathtype

Mathtype Crack

medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

ml-notes

notes about machine learning

motiontigre

Initial and non-optimized version of the motion compensation code, to add to TIGRE

notes-on-computing-methods

计算方法撷英 Notes on Computing Methods

npy-matlab

Experimental code to read/write NumPy .NPY files in MATLAB

pelvis-x-ray_segmentation_database

Pelvis X-ray_Segmentation_Database

phdthesis

A.Biguri PhD thesis: Iterative Reconstruction and Motion compensation in Computed Tomography on GPUs

projective-spatial-transformers

Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration

pydrr

DRR generation by pycuda

pykneer

An image analysis workflow for open and reproducible research on femoral knee cartilage

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-tutorial

Build your neural network easy and fast

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

ray-tracing

2017 fall CG course assignment2

redaep

REDAEP: Robust and Enhanced Denoising Autoencoding Prior for Sparse-View CT Reconstruction

scoliosis

Spinal landmarks and curvature detection

segloss

A collection of loss functions for medical image segmentation

self-supervised-fewshot-medical-image-segmentation

[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)

shapeworks

ShapeWorks