================================
Chest X-Ray Anatomy Segmentation
================================
--------------
Installation
--------------
The project is available in PyPI. To install run:
``pip install cxas``
--------------------------------------
Running Segmentation from terminal
--------------------------------------
Segment the anatomy of X-Ray images \(.jpg,.png,.dcm\) and store the results \(npy,json,jpg,png,dicom-seg\):
```
cxas_segment -i {desired input directory or file} -o {desired output directory}
```
------------------------------------------
Running Feature Extraction from terminal
------------------------------------------
Extract anatomical features from X-Ray images \(.jpg,.png,.dcm\) and store the results \(.csv\):
``cxas_feat_extract -i {desired input directory or file} -o {desired output directory} -f {desired features to extract}``
----------------------------
Running either from terminal
----------------------------
Extract anatomical features from X-Ray images \(.jpg,.png,.dcm\) and store the results \(.csv\):
``cxas -i {desired input directory or file} -o {desired output directory} -mode {"segment" or "exract"} -f {required if mode == 'extract'}``
--------------
Citation
--------------
If you use this work or dataset, please cite:
.. code:: bibtex
@inproceedings{Seibold_2022_BMVC,
author = {Constantin Marc Seibold and Simon Reiß and M. Saquib Sarfraz and Matthias A. Fink and Victoria Mayer and Jan Sellner and Moon Sung Kim and Klaus H. Maier-Hein and Jens Kleesiek and Rainer Stiefelhagen},
title = {Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding},
booktitle = {33rd British Machine Vision Conference 2022, {BMVC} 2022, London, UK, November 21-24, 2022},
publisher = {{BMVA} Press},
year = {2022},
url = {https://bmvc2022.mpi-inf.mpg.de/0058.pdf}
}
.. code:: bibtex
@inproceedings{Seibold_2023_CXAS,
author = {Constantin Seibold, Alexander Jaus, Matthias Fink,
Moon Kim, Simon Reiß, Jens Kleesiek*, Rainer Stiefelhagen*},
title = {Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling},
year = {2023},
}
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