GuoxiongLi

NRM-GC

A Geometrical Calibration Method for C-Arm CT Based on a Nonlinear Registration Model

Geometry-calibration-for-tomographic-x-ray-imaging-systems

An Matlab implementation for geometry calibration of an x-ray imaging system. The methods and algorithm are inspired by Li, Xinhua, Da Zhang, and Bob Liu. "A generic geometric calibration method for tomographic imaging systems with flat-panel detectors—A detailed implementation guide." Medical physics 37, no. 7 (2010): 3844-3854.

CONRAD

CONRAD Repository

X-BDCNN

X-ray image denoising

DnCNN

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

matlabPyrTools

MatLab tools for multi-scale image processing, including Laplacian pyramids, Wavelets, and Steerable Pyramids

synmammo

A synthetic mammogram generator using DBT images running on CUDA (early prototype)

DBT-Reconstruction

LAVI open-source reconstruction toolbox for digital breast tomosynthesis (DBT)

UnpairedImageTranslation

Image translation by CNNs trained on unpaired data

Machine-Learning-Collection

A resource for learning about Machine learning & Deep Learning

Xrays_CT

3D Reconstruction from of 2D X-rays

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Spine-Landmark-Detection

Spine Vertebrae Landmark Detection

spine_recognition

Recognition of curvature on spine X-ray images

Automated-Estimation-of-the-Spinal-Curvature

Machine Learning code for automatic measurement of scoliosis severity from X-ray. 3rd place at the international AASCE competition.

Scoliosis

Spinal landmarks and curvature detection

Vertebra-Landmark-Detection

[ISBI 2020] Vertebra-Focused Landmark Detection for Scoliosis Assessment

ML-BoneSuppression

FractureDetection

MATLAB script for x-ray fracture detection

Bone-Fracture-Detection

Detecting fractures on top of X-ray imaging modalities using various state-of-the-art techniques of deep learning

EGAN

Bone-Edge-Guided Generative Adversarial Network for Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs

CXR-bone-suppression

Rajaraman et al. ResNet-BS chest radiograph bone suppression deep learning network

bone-suppression

Research in Python for bone suppression from chest radiographs

Deep-Learning-Models-for-bone-suppression-in-chest-radiographs

Gusarev's bone suppression method

Weakly-Supervised-ChestXray-AdaptiveDenseNet

A Weakly Supervised Adaptive Densenet for Classifying Thoracic Diseases and Identifying Abnormalities (2019)

Virtual-Dual-Energy

Generation of Virtual Dual-Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network (ACCV 2018)

NIH-Chest-X-Rays-Multi-Label-Image-Classification-In-Pytorch

Multi-Label Image Classification of Chest X-Rays In Pytorch

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Unet-Segmentation-Pytorch-Nest-of-Unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet