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.
☆233Updated 2 weeks ago
Alternatives and similar repositories for MOOSE:
Users that are interested in MOOSE are comparing it to the libraries listed below
- Processing Library and Analysis Toolkit for Medical Imaging in Python☆125Updated last week
- A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.☆226Updated 2 weeks ago
- Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606☆225Updated 3 weeks ago
- A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography☆165Updated last week
- Fully automatic total body segmentation in 3D Slicer using "TotalSegmentator" AI model☆209Updated this week
- Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020☆222Updated 3 years ago
- DICOM RT-Struct to mask☆101Updated last year
- uniGradICON: A Foundation Model for Medical Image Registration (MICCAI 2024)☆111Updated this week
- SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI☆80Updated 3 months ago
- An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images☆232Updated this week
- MRI brain extraction tool☆324Updated 3 months ago
- A package to compute medical segmentation metrics.☆156Updated 8 months ago
- Pre-trained models and utilities for deep learning on medical images in Python☆212Updated 2 weeks ago
- Implementation of the DeepVesselNet deep learning network☆145Updated last year
- This repository employs a deep-learning method for the automated segmentation of total metabolic tumor volume (TMTV) in whole-body [18]F-…☆19Updated 3 weeks ago
- 3D Slicer nnUNet integration to streamline usage for nnUNet based AI extensions.☆34Updated 2 months ago
- NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.☆147Updated 3 years ago
- Medical image registration related books, tutorials, papers, datasets, toolboxes and deep learning open source codes☆177Updated 2 months ago
- Contrast-agnostic segmentation of MRI scans☆428Updated 8 months ago
- This Repo Will contain the Preprocessing Code for 3D Medical Imaging☆198Updated 4 years ago
- The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"☆241Updated last year
- ☆181Updated 4 years ago
- ☆109Updated 2 months ago
- 3D Slicer Plugin for Segment anything in medical images☆215Updated 3 months ago
- This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.☆76Updated 5 months ago
- nii2dcm: NIfTI to DICOM creation with Python☆69Updated 11 months ago
- Extension for 3D Slicer for running MONAI Auto3DSeg models☆82Updated last month
- Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.☆121Updated 3 years ago
- ☆118Updated last month
- Auto-differentiable digitally reconstructed radiographs in PyTorch☆183Updated 3 weeks ago