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.
☆51Updated 3 months ago
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:
- Computed tomography to body composition (Comp2Comp).☆97Updated last month
- DICOM RT-Struct to mask☆102Updated last year
- This repository employs a deep-learning method for the automated segmentation of total metabolic tumor volume (TMTV) in whole-body [18]F-…☆23Updated 7 months ago
- A 3D Slicer extension for efficient segmentation with nnInteractive.☆102Updated last month
- Workflow for Optimal Radiomics Classification☆78Updated 2 months ago
- Processing Library and Analysis Toolkit for Medical Imaging in Python☆137Updated 4 months ago
- Medical Image Radiomics Processor☆72Updated 2 months ago
- ☆42Updated 2 years ago
- A deep learning framework for automated analysis of body composition from abdominal CT☆19Updated last year
- The easiest tool for experimenting with radiomics features.☆41Updated last year
- Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.☆78Updated last year
- Precision medicine toolbox☆70Updated last year
- TotalSegmentator packaged as an AIDE Application, based on the MONAI Application Package (MAP) standard.☆31Updated last year
- ☆106Updated 3 weeks ago
- Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.☆93Updated last month
- Software for automatic segmentation and generation of standardized clinical reports of brain tumors from MRI volumes☆43Updated 3 months ago
- Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.☆87Updated 3 years ago
- MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemi…☆274Updated last week
- Brain extraction in presence of abnormalities, using single and multiple MRI modalities☆36Updated 7 months ago
- Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterat…☆76Updated this week
- Model Zoo for parameter settings in Elastix, ITKElastix and SimpleElastix☆52Updated 7 months ago
- This repository contains the code used for the paper "Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and …☆38Updated 2 years ago
- ☆29Updated last year
- SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI☆112Updated 10 months ago
- ☆60Updated last year
- Airway segmentation from chest CTs using deep Convolutional Neural Networks☆71Updated 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…☆72Updated 5 years ago
- Transparent and reproducible medical image processing pipelines in Python.☆50Updated 2 weeks ago
- Standardized Environment for Radiomics Analysis☆26Updated 6 years ago
- MRISegmentator☆45Updated 2 months ago