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official implementation of paper: "CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation Learning".

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SRRD

This repo is the official implementation of paper: "CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation Learning".

SRRD: Synthesis, Registration, Regression and Diagnosis

Synthesis, Registration, Regression and Diagnosis for CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis
Paper »

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Usage

Preparations
  1. download the HED[https://github.com/sniklaus/pytorch-hed] pretrained model from [https://drive.google.com/file/d/14Vm_aMDovY-zYQcBJmxUnl4iOvWWITC7/view?usp=sharing]
Install
  1. Clone the repo
git clone https://github.com/jackhu-bme/SRRD.git
cd SRRD
  1. install pytorch >= 1.6.0
  2. install by environment.yml
cd SPSNet
conda env create -f environment.yml

TODO

1 organize the uploaded code
2 more detailed readme
3 revise the names of module to be consistent with the paper

Author

Jack Hu

Email: 2368907635@sjtu.edu.cn

License

MIT License

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official implementation of paper: "CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation Learning".

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