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Merge pull request #47 from raidionics/readme_update
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Update README.md
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andreped authored Nov 3, 2023
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This repository contains the AeroPath dataset described in ["_AeroPath: An airway segmentation benchmark dataset with challenging pathology_"](https://arxiv.org/abs/2311.01138). A web application was also developed in the study, to enable users to easily test our deep learning model on their own data. The application was developed using [Gradio](https://www.gradio.app) for the frontend and the segmentation is performed using the [Raidionics](https://raidionics.github.io/) backend.

The dataset can be accessed from [Releases](https://github.com/raidionics/AeroPath/releases).
The dataset can be accessed [here](https://zenodo.org/records/10069289).

## [Dataset structure](https://github.com/raidionics/AeroPath#data-structure)

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└── AeroPath.zip
├── README.md
└── AeroPath/
├── pat1/
│ ├── pat1_ct.nii.gz
│ ├── pat1_airways.nii.gz
│ └── pat1_lungs.nii.gz
├── 1/
│ ├── 1_CT_HR.nii.gz
│ ├── 1_CT_HR_label_airways.nii.gz
│ └── 1_CT_HR_label_lungs.nii.gz
├── [...]
└── pat27/
├── pat27_ct.nii.gz
├── pat27_airways.nii.gz
└── pat27_lungs.nii.gz
└── 27/
├── 27_CT_HR.nii.gz
├── 27_CT_HR_label_airways.nii.gz
└── 27_CT_HR_label_lungs.nii.gz
```

## [Demo](https://github.com/raidionics/AeroPath#demo) <a target="_blank" href="https://huggingface.co/spaces/andreped/AeroPath"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-yellow.svg"></a>
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