MIPsegmentatorV1
importedsoftware/mipsegmentatorv1
A 3D lesion segmentation method on whole-body PET images including automated quality control.
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
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/KibromBerihu/MIPsegmentatorV1
- Documentation
- unknown
- Tags
- 2d · 3d · ai · autopet · deep-learning · dmax · lymphoma · maximum-intensity-projections · mip · oncology · pet · segmentation · tmtv · whole-body-segmentation
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ai4elifelymphoma · pet · whole-body-segmentation
This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.
- Asclepios-DICOM-Viewer2d · 3d
Bachelor thesis project. A DICOM Viewer written in C++, QT and VTK.
- ldct-benchmark2d · 3d
A benchmark for deep learning-based low dose CT image denoising
- medpy2d · 3d
Medical image processing in Python
- sofima2d · 3d
Scalable Optical Flow-based Image Montaging and Alignment
- supra2d · 3d
SUPRA: Software Defined Ultrasound Processing for Real-Time Applications - An Open Source 2D and 3D Pipeline from Beamforming to B-Mode
- api.github.com/repos/KibromBerihu/MIPsegmentatorV1retrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-06-20, 13 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/43.json→ .entries["mipsegmentatorv1"]
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