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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)

Source distribution for gliographseg 0.1.4
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gliographseg-0.1.4.tar.gz 25.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for gliographseg 0.1.4
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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

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Release files / gliographseg-0.1.4-py3-none-any.whl

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This release

0.1.4 This release

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

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