segmentation-eval
importedsoftware/segmentation-eval
Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/rmsandu/segmentation-eval
- Documentation
- unknown
- Tags
- ablation · data-preparation · dicom · euclidean-distances · liver-cancer · liver-segmentation · liver-tumor · metrics · pydicom · pyradiomics · radiomics-extraction · radiomics-feature-extraction · segmentation · segmentation-eval · segmentation-masks · simpleitk · tumor
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Dicom-Toolsdicom · pydicom · simpleitk
Multi-language DICOM workbench for comparing DCMTK, GDCM, ITK/VTK, dicom-rs, fo-dicom, dcm4che, Cornerstone3D, pydicom/pynetdicom, and related backends through a shared UI and contract runner.
- sleek-patchdata-preparation
Python 3 Package for optimally sampling big images with texture-aware patchification based on SLIC superpixels. So Sleek !
- VoxelSageliver-segmentation
VoxelSage turns CT scans into actionable 3D insights—automatically segmenting anatomy, quantifying tumors and vessels, generating structured reports, and powering agent-guided surgical analysis.
- BraTSsegmentation · tumor
Providing top-performing algorithms from the Brain Tumor Segmentation (BraTS) challenges.
- misevalmetrics · segmentation
a metric library for Medical Image Segmentation EVALuation
- Raidionics-Slicersegmentation · tumor
3D Slicer plugin for automatic segmentation and generation of standardized clinical reports for the most common brain tumors, using MRI volumes
- api.github.com/repos/rmsandu/segmentation-evalretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-08-19, 30 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as GPL-3.0, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/0.json→ .entries["segmentation-eval"]
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