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Correct link issue in docs
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pchlap committed Jun 2, 2022
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# Cardiac sub-structure auto-segmentation

This project consists of an algorithm to automatically segment the heart plus 17 cardiac
sub-structures in typical Radiotherapy CT scans. The hybrid algorithm [1] first segments the whole
heart using a deep learning model (nnUNet [2]) followed by a multi-atlas based mapping of the
cardiac sub-structure [3] and geometric modelling of smaller cardiac structures. The following
sub-structures in typical Radiotherapy CT scans. The hybrid algorithm [[1]](#references) first segments the whole
heart using a deep learning model (nnUNet [[2]](#references)) followed by a multi-atlas based mapping of the
cardiac sub-structure [[3]](#references) and geometric modelling of smaller cardiac structures. The following
cardiac structures are generated by the auto-segmentation algorithm. By default, structure names
are formatted to conform to the [TG-263](https://www.aapm.org/pubs/reports/RPT_263.pdf)
guildelines:
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| Sinoatrial Conduction Node | CN_Sinoatrial |
| Atrioventricular Conduction Node | CN_Atrioventricular |

![Example Results](../../../../assets/cardiac.png)
![Example Results](https://raw.githubusercontent.com/pyplati/platipy/master/assets/cardiac.png)

## Quickstart

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