Science Score: 67.0%
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✓DOI references
Found 3 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (12.9%) to scientific vocabulary
Keywords
Repository
A deep learning model for skull reconstruction task.
Basic Info
- Host: GitHub
- Owner: guitared
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://doi.org/10.1109/ACCESS.2024.3415173
- Size: 1.01 MB
Statistics
- Stars: 6
- Watchers: 2
- Forks: 3
- Open Issues: 0
- Releases: 2
Topics
Metadata Files
README.md
CraNeXt
CraNeXt is a deep learning model for skull reconstruction tasks. The input is a binary voxel is a defective skull, and the output is a binary voxel representing a complete skull.
Usage Example
For a detailed demonstration of how to use CraNeXt, please refer to our example.ipynb notebook. This notebook provides step-by-step instructions and code examples for:
- Downloading sample SkullBreak dataset and preparing input data
- Using the CraNeXt model with pretrained weights on SkullBreak
- Running skull reconstruction and performing evaluation
- Visualizing reconstruction result
You can run the notebook directly in Google Colab by clicking the Colab badge above or locally.
Requirements
Use pip to install the requirements as follows:
!pip install -r requirements.txt
Citation
Please refer to our full manuscript in IEEE Access. If you use the model, you can cite it with the following bibtex.
@article {CraNeXt,
author = { Kesornsri, Thathapatt and Asawalertsak, Napasara and Tantisereepatana, Natdanai and Manowongpichate, Pornnapas and Lohwongwatana, Boonrat and Puncreobutr, Chedtha and Achakulvisut, Titipat and Vateekul, Peerapon },
journal = { IEEE Access },
title = { CraNeXt: Automatic Reconstruction of Skull Implants With Skull Categorization Technique },
year = { 2024 },
volume = { 12} ,
pages = { 84907--84922 },
keywords = { Skull;Implants;Image reconstruction;Shape measurement;Three-dimensional displays;Computer architecture;Computational modeling;Skull reconstruction;deep learning;skull categorization;autoimplant;volumetric shape completion },
doi = { 10.1109/ACCESS.2024.3415173 },
url = { https://doi.org/10.1109/access.2024.3415173 }
}
Owner
- Name: Guitared
- Login: guitared
- Kind: user
- Location: Thailand
- Website: guitared.me
- Repositories: 57
- Profile: https://github.com/guitared
Code for Loved
Citation (CITATION.cff)
@article{CraNeXt,
author={Kesornsri, Thathapatt and Asawalertsak, Napasara and Tantisereepatana, Natdanai and Manowongpichate, Pornnapas and Lohwongwatana, Boonrat and Puncreobutr, Chedtha and Achakulvisut, Titipat and Vateekul, Peerapon},
journal={IEEE Access},
title={CraNeXt: Automatic Reconstruction of Skull Implants With Skull Categorization Technique},
year={2024},
volume={12},
pages={84907-84922},
keywords={Skull;Implants;Image reconstruction;Shape measurement;Three-dimensional displays;Computer architecture;Computational modeling;Skull reconstruction;deep learning;skull categorization;autoimplant;volumetric shape completion},
doi={10.1109/ACCESS.2024.3415173},
url={https://doi.org/10.1109/access.2024.3415173}
}
GitHub Events
Total
- Watch event: 4
- Push event: 1
- Fork event: 1
Last Year
- Watch event: 4
- Push event: 1
- Fork event: 1