Pinned Repositories
Automatic-recognition-of-lung-opacities-region-on-chest-radiographs
肺部不透明区域识别Chest radiograph (CXR) is one of the common radiological examinations used to screen and diagnose many lung diseases. Most pulmonary diseases usually present on CXR as one or more opacities or less transparent areas of the lung. However, it is a difficult task to identify opacities areas accurately. This project designs an algorithm to assist clinicians in diagnosis.
yesulove
Config files for my GitHub profile.
unet-pytorch
这是一个unet-pytorch的源码，可以训练自己的模型
ANTsPy
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
niftyreg
This project contains command line tools to perform rigid, affine and non-linear registration of nifti or analyse images as well as utilities
FR-UNet
[JBHI2022] Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation
yesulove's Repositories
yesulove/yesulove
Config files for my GitHub profile.
yesulove/Automatic-recognition-of-lung-opacities-region-on-chest-radiographs
肺部不透明区域识别Chest radiograph (CXR) is one of the common radiological examinations used to screen and diagnose many lung diseases. Most pulmonary diseases usually present on CXR as one or more opacities or less transparent areas of the lung. However, it is a difficult task to identify opacities areas accurately. This project designs an algorithm to assist clinicians in diagnosis.