ENHANCE-PET / MOOSE
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.
☆190Updated this week
Related projects ⓘ
Alternatives and complementary repositories for MOOSE
- Processing Library and Analysis Toolkit for Medical Imaging in Python☆117Updated 2 weeks ago
- SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI☆65Updated 2 weeks ago
- DICOM RT-Struct to mask☆93Updated 8 months ago
- A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.☆199Updated last month
- This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.☆71Updated last month
- The official website for uniGradICON: A Foundation Model for Medical Image Registration☆82Updated last week
- A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography☆151Updated 2 months ago
- Extension for 3D Slicer for running MONAI Auto3DSeg models☆65Updated 2 weeks ago
- Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hiera…☆76Updated last month
- Pre-trained models and utilities for deep learning on medical images in Python☆201Updated 2 weeks ago
- Fully automatic total body segmentation in 3D Slicer using "TotalSegmentator" AI model☆178Updated last week
- 3D Slicer Plugin for Segment anything in medical images☆166Updated last week
- An AI-powered open-source medical image analysis toolbox☆57Updated 2 months ago
- Computed tomography to body composition (Comp2Comp).☆61Updated 3 months ago
- ☆104Updated 6 months ago
- NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.☆134Updated 2 years ago
- Implementation of the DeepVesselNet deep learning network☆140Updated last year
- Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606☆206Updated last week
- Airway segmentation from chest CTs using deep Convolutional Neural Networks☆62Updated 4 months ago
- TotalSegmentator packaged as an AIDE Application, based on the MONAI Application Package (MAP) standard.☆24Updated 8 months ago
- nii2dcm: NIfTI to DICOM creation with Python☆59Updated 6 months ago
- Medical Image Radiomics Processor☆53Updated last month
- MRI brain extraction tool☆281Updated 3 weeks ago
- Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and Simpl…☆89Updated last month
- Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge☆15Updated 2 years ago
- Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020☆209Updated 3 years ago
- This repository employs a deep-learning method for the automated segmentation of total metabolic tumor volume (TMTV) in whole-body [18]F-…☆15Updated 2 months ago
- MONAI Model Zoo that hosts models in the MONAI Bundle format.☆197Updated this week
- A package to compute medical segmentation metrics.☆121Updated 3 months ago
- Segment Source Distribution☆72Updated 2 years ago