SlicerLungCTAnalyzer
importedsoftware/slicerlungctanalyzer
This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- Slicer
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Slicer/SlicerLungCTAnalyzer
- Documentation
- unknown
- Tags
- 3d-slicer-extension · covid · covid-19 · covid-volumetry · ct-volumetry · lung-ct · lung-disease · lung-lobes · lung-segmentation · medical-imaging
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- covid19.MIScnncovid-19 · lung-disease · lung-lobes · lung-segmentation · medical-imaging
Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data
- lungmaskcovid-19 · lung-disease · lung-lobes · lung-segmentation
Automated lung segmentation in CT
- MONAILabel3d-slicer-extension · medical-imaging
MONAI Label is an intelligent open source image labeling and learning tool.
- SlicerNNUnet3d-slicer-extension · medical-imaging
3D Slicer nnUNet integration to streamline usage for nnUNet based AI extensions.
- Lung-Tumor-Segmentation-DSlung-segmentation
Lung tumor segmentation with the UNet model.
- SSCTlung-segmentation
[ICCV 2023] Self-supervised Semantic Segmentation: Consistency over Transformation
- api.github.com/repos/Slicer/SlicerLungCTAnalyzerretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-10-04, 93 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/16.json→ .entries["slicerlungctanalyzer"]
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