StanfordMIMI / Comp2CompLinks
Computed tomography to body composition (Comp2Comp).
☆104Updated last week
Alternatives and similar repositories for Comp2Comp
Users that are interested in Comp2Comp are comparing it to the libraries listed below
Sorting:
- DICOM RT-Struct to mask☆102Updated last year
- MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemi…☆302Updated last month
- Processing Library and Analysis Toolkit for Medical Imaging in Python☆144Updated 7 months ago
- Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.☆89Updated 3 years ago
- Medical Image Radiomics Processor☆76Updated this week
- Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hiera…☆81Updated last year
- End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Ma…☆74Updated 5 years ago
- Precision medicine toolbox☆70Updated last year
- BOA is a segmentation tool of CT scans by the SHIP-AI group (https://ship-ai.ikim.nrw/). Combining the TotalSegmentator and the Body Comp…☆58Updated 2 months ago
- Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and Simpl…☆105Updated last year
- A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.☆250Updated 5 months ago
- ☆145Updated last month
- An AI-powered open-source medical image analysis toolbox☆71Updated last year
- Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.☆84Updated last month
- Workflow for Optimal Radiomics Classification☆80Updated last week
- Implementation of the DeepVesselNet deep learning network☆153Updated 2 years ago
- new and more efficient version for 3D discrete deformable registration, reaching the highest accuracy in several benchmarks☆125Updated 4 months ago
- Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.☆97Updated 3 months ago
- ☆119Updated 3 weeks ago
- A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography☆188Updated 7 months ago
- Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterat…☆82Updated last month
- SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI☆116Updated last year
- Transparent and reproducible medical image processing pipelines in Python.☆56Updated last week
- A 3D Slicer extension for efficient segmentation with nnInteractive.☆122Updated 3 weeks ago
- This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.☆86Updated last year
- ☆124Updated 3 months ago
- Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: h…☆195Updated 2 years ago
- PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion☆53Updated this week
- ☆389Updated 6 months ago
- A deep learning framework for automated analysis of body composition from abdominal CT☆19Updated last year