zapaishchykova / SegmentationReview
Slicer3D extension for rating using Likert-type score Deep-learning generated segmentations, with segment editor functionality. Created to speed up the validation process done by a clinician - the dataset loads in one batch with no need to load masks and volumes separately.
☆25Updated last month
Alternatives and similar repositories for SegmentationReview:
Users that are interested in SegmentationReview are comparing it to the libraries listed below
- Transparent and reproducible medical image processing pipelines in Python.☆42Updated this week
- Streamline deep learning experiments using config files☆35Updated last week
- Automatic sorting of brain MRI scans by scan type☆24Updated last month
- SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI☆72Updated last month
- Computed tomography to body composition (Comp2Comp).☆70Updated last month
- Medical Image Radiomics Processor☆61Updated last week
- Software for automatic segmentation and generation of standardized clinical reports of brain tumors from MRI volumes☆37Updated 2 weeks ago
- This repository contains code used to prepare the LUMIERE Glioblastoma dataset.☆20Updated last year
- Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hiera…☆77Updated 4 months ago
- The easiest tool for experimenting with radiomics features.☆39Updated 9 months ago
- Python wrapper for Plastimatch.☆13Updated 5 months ago
- Deep learning software modules for image-guided medical procedures☆63Updated this week
- Precision medicine toolbox☆69Updated 10 months ago
- Docker for running stroke lesion core segmentation☆29Updated 4 years ago
- TotalSegmentator packaged as an AIDE Application, based on the MONAI Application Package (MAP) standard.☆24Updated last year
- Website for NA-MIC Project Weeks☆85Updated last week
- A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration☆39Updated 7 months ago
- Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.☆69Updated 6 months ago
- A deep learning-based fully-automatic intravenous contrast detection tool for head-and-neck and chest CT scans.☆22Updated last year
- This repository supports the BENDER series of videos for the MICCAI Education Challenge, 2022.☆12Updated last year
- ☆66Updated 10 months ago
- Workflow for Optimal Radiomics Classification☆73Updated 3 weeks ago
- Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, sk…☆26Updated last year
- Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.☆81Updated 4 months ago
- Processing Library and Analysis Toolkit for Medical Imaging in Python☆122Updated 2 months ago
- A project to provide custom sorting and renaming of dicom files☆76Updated 7 months ago
- A UNet for the analysis of perfusion CT imaging in the setting of acute ischemic stroke.☆15Updated 6 months ago
- Extension for 3D Slicer for running MONAI Auto3DSeg models☆77Updated 3 weeks ago
- An AI-powered open-source medical image analysis toolbox☆61Updated 6 months ago
- Model Zoo for parameter settings in Elastix, ITKElastix and SimpleElastix☆49Updated 2 weeks ago