UMEssen / Body-and-Organ-AnalysisLinks
BOA is a segmentation tool of CT scans by the SHIP-AI group (https://ship-ai.ikim.nrw/). Combining the TotalSegmentator and the Body Composition Analysis, this tool is capable of analyzing medical images and identifying the different structures within the human body, including bones, muscles, organs, and blood vessels.
☆49Updated last month
Alternatives and similar repositories for Body-and-Organ-Analysis
Users that are interested in Body-and-Organ-Analysis are comparing it to the libraries listed below
Sorting:
- DICOM RT-Struct to mask☆101Updated last year
- Computed tomography to body composition (Comp2Comp).☆92Updated 2 weeks ago
- Processing Library and Analysis Toolkit for Medical Imaging in Python☆137Updated 3 months ago
- MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemi…☆265Updated 3 weeks ago
- A 3D Slicer extension for efficient segmentation with nnInteractive.☆91Updated 3 weeks ago
- Medical Image Radiomics Processor☆70Updated last month
- This repository employs a deep-learning method for the automated segmentation of total metabolic tumor volume (TMTV) in whole-body [18]F-…☆23Updated 6 months ago
- The easiest tool for experimenting with radiomics features.☆41Updated last year
- Precision medicine toolbox☆70Updated last year
- A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.☆238Updated last month
- TotalSegmentator packaged as an AIDE Application, based on the MONAI Application Package (MAP) standard.☆31Updated last year
- Software for automatic segmentation and generation of standardized clinical reports of brain tumors from MRI volumes☆43Updated last month
- Transparent and reproducible medical image processing pipelines in Python.☆50Updated last month
- Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.☆78Updated last year
- SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI☆103Updated 8 months ago
- Workflow for Optimal Radiomics Classification☆78Updated last month
- ☆42Updated 2 years ago
- Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.☆91Updated 11 months ago
- A deep learning framework for automated analysis of body composition from abdominal CT☆18Updated last year
- Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and Simpl…☆101Updated 9 months ago
- ☆87Updated last week
- Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterat…☆69Updated this week
- Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.☆86Updated 3 years ago
- Model Zoo for parameter settings in Elastix, ITKElastix and SimpleElastix☆51Updated 6 months ago
- Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge☆21Updated 3 years ago
- Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hiera…☆81Updated 11 months ago
- Airway segmentation from chest CTs using deep Convolutional Neural Networks☆66Updated last year
- RadQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) and computed tomography (C…☆106Updated last month
- MRISegmentator☆44Updated 3 weeks ago
- Slicer3D extension for rating using Likert-type score Deep-learning generated segmentations, with segment editor functionality. Created t…☆26Updated 2 months ago