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SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework with Semantic Image Representation

This repository is the official implementation of the paper:

Shumao Pang, Chunlan Pang, Lei Zhao, Yangfan Chen, Zhihai Su, Yujia Zhou, Meiyan Huang, Wei Yang, Hai Lu, and Qianjin Feng, "SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework with Semantic Image Representation, " IEEE Transactions on Medical Imaging, 2021, doi: 10.1109/TMI.2020.3025087.

Website: https://www.researchgate.net/profile/Shumao_Pang2

Some codes were borrowed from

image

Environment and installation

  • Pytorch = 1.5.1
  • torchvision
  • scipy
  • tensorboardX
  • numpy
  • opencv-python
  • matplotlib
  • networkx

Getting Started

Data Preparation

|-- data

|-- coarse

|-- in

|-- h5py

|-- nii

|-- original_mr

|-- Case1.nii.gz

|-- Case2.nii.gz

......

|-- Case215.nii.gz

|-- mask

|-- mask_case1.nii.gz

|-- mask_case2.nii.gz

......

|-- mask_case215.nii.gz

|-- fine

|-- in

|-- h5py

|-- nii

|-- original_mr

|-- Case1.nii.gz

|-- Case2.nii.gz

......

|-- Case215.nii.gz

|-- mask

|-- mask_case1.nii.gz

|-- mask_case2.nii.gz

......

|-- mask_case215.nii.gz

Note that the files in data/coarse/in/nii are the same with those in data/fine/in/nii.

Run the main.sh script for training and test:

nohup ./main.sh > main.out &

Citation

@article{pang2020spineparsenet, title={SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation}, author={Pang, Shumao and Pang, Chunlan and Zhao, Lei and Chen, Yangfan and Su, Zhihai and Zhou, Yujia and Huang, Meiyan and Yang, Wei and Lu, Hai and Feng, Qianjin}, journal={IEEE Transactions on Medical Imaging}, volume={40}, number={1}, pages={262--273}, year={2021}, publisher={IEEE} }

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