ENHANCE-PET / MOOSELinks
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
☆261Updated 2 weeks ago
Alternatives and similar repositories for MOOSE
Users that are interested in MOOSE are comparing it to the libraries listed below
Sorting:
- Extension for 3D Slicer for running MONAI Auto3DSeg models☆93Updated last month
- Processing Library and Analysis Toolkit for Medical Imaging in Python☆132Updated 2 months ago
- A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.☆237Updated 3 weeks ago
- Fully automatic total body segmentation in 3D Slicer using "TotalSegmentator" AI model☆223Updated last month
- A 3D Slicer extension for efficient segmentation with nnInteractive.☆88Updated last month
- This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.☆83Updated 10 months ago
- nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and la…☆240Updated last week
- ☆112Updated 6 months ago
- DICOM RT-Struct to mask☆101Updated last year
- 3D Slicer nnUNet integration to streamline usage for nnUNet based AI extensions.☆46Updated last month
- SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI☆100Updated 7 months ago
- Computed tomography to body composition (Comp2Comp).☆91Updated last month
- Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020☆236Updated 4 years ago
- MRI brain extraction tool☆346Updated 7 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…☆101Updated 8 months ago
- ☆369Updated last month
- 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…☆45Updated last week
- This repository employs a deep-learning method for the automated segmentation of total metabolic tumor volume (TMTV) in whole-body [18]F-…☆23Updated 5 months ago
- Implementation of the DeepVesselNet deep learning network☆151Updated 2 years ago
- ☆133Updated this week
- uniGradICON: A Foundation Model for Medical Image Registration (MICCAI 2024)☆156Updated 2 months ago
- Pre-trained models and utilities for deep learning on medical images in Python☆229Updated 3 weeks ago
- 3D Slicer Plugin for Segment anything in medical images☆245Updated 4 months ago
- 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…☆73Updated 4 years ago
- The supplementary code for the pulmonary artery-vein segmentation with various inter-slice thickness☆34Updated 5 months ago
- Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hiera…☆81Updated 10 months ago
- Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.☆91Updated 10 months ago
- Contrast-agnostic segmentation of MRI scans☆477Updated last year
- An AI-powered open-source medical image analysis toolbox☆63Updated 11 months ago
- TotalSegmentator packaged as an AIDE Application, based on the MONAI Application Package (MAP) standard.☆29Updated last year