GlioGraphSeg
GlioGraphSeg is a deep learning-based tool for brain tumor segmentation from MRI scans. It uses Graph Neural Networks to model spatial relationships between regions. The system provides accurate glioma detection and segmentation.
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Description
GlioGraphSeg combines deep learning and graph-based modeling to improve the segmentation of gliomas in brain MRI scans.
The tool is designed to support medical professionals by providing accurate, automated tumor delineation using GNNs.
Citation
If you use GlioGraphSeg in your research, please cite the following paper:
Amato, D., Calderaro, S., Bosco, G. L., Rizzo, R., & Vella, F. (2024, December). Semantic Segmentation of Gliomas on Brain MRIs by Graph Convolutional Neural Networks. In 2024 International Conference on AI x Data and Knowledge Engineering (AIxDKE) (pp. 143-149). IEEE. DOI link
Contact
For questions or collaborations, contact: salvatore.calderaro01@unipa.it
Metadata
Release files for gliographseg 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gliographseg-0.1.4.tar.gz | 25.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gliographseg-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 49.6 kB
Release files / gliographseg-0.1.4.tar.gz
| Download URL | gliographseg-0.1.4.tar.gz |
|---|---|
| Size | 25.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
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Release files / gliographseg-0.1.4-py3-none-any.whl
| Download URL | gliographseg-0.1.4-py3-none-any.whl |
|---|---|
| Size | 24.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|