CCI-Bonn / HD-GLIO-XNATLinks
Automated processing tool for MRI in neuro-oncology (brain tumor segmentation, volumetric tumor response assessment) provided as Container Service Plugin for XNAT, enabling integration in existing radiological infrastructures.
☆11Updated 3 years ago
Alternatives and similar repositories for HD-GLIO-XNAT
Users that are interested in HD-GLIO-XNAT are comparing it to the libraries listed below
Sorting:
- The easiest tool for experimenting with radiomics features.☆41Updated last year
- A deep learning framework for automated analysis of body composition from abdominal CT☆19Updated last year
- Predicting genetics and providing segmentation of glioma☆20Updated last year
- Medical Image Radiomics Processor☆74Updated 2 weeks ago
- Brain extraction in presence of abnormalities, using single and multiple MRI modalities☆36Updated 8 months ago
- RadQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) and computed tomography (C…☆109Updated 4 months ago
- Precision medicine toolbox☆70Updated last year
- Standardized Environment for Radiomics Analysis☆26Updated 6 years ago
- 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…☆56Updated last month
- Visualization for radiomics feature generated by pyradiomics☆53Updated 11 months ago
- Workflow for Optimal Radiomics Classification☆79Updated 3 weeks ago
- Software for automatic segmentation and generation of standardized clinical reports of brain tumors from MRI volumes☆43Updated 4 months ago
- Codes used for the paper "Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer"☆33Updated 3 months ago
- Transparent and reproducible medical image processing pipelines in Python.☆54Updated last week
- Tool to multiplex different tracer PET data from the same patient.☆21Updated last week
- Brain Segmentation with MONAI and Dynamic Unet (nn-unet)☆36Updated last week
- Automatic sorting of brain MRI scans by scan type☆26Updated 11 months ago
- A project to provide custom sorting and renaming of dicom files☆82Updated 7 months ago
- A UNet for the analysis of perfusion CT imaging in the setting of acute ischemic stroke.☆17Updated 7 months ago
- Hand-crafted radiomics and deep learning-based radiomcis features extraction.☆88Updated 3 years ago
- Automated processing of MRI in neuro-oncology (combining HD-BET, image co-registration, and HD-GLIO in one container)☆32Updated 3 years ago
- Pre-trained models and utilities for deep learning on medical images in Python (Keras/TensorFlow)☆237Updated last week
- This is a complete guide on how to do Pyradiomics based feature extraction and then, build a model to calculate the grade of glioma.☆28Updated 5 years ago
- A Slicer extension to provide a GUI around pyradiomics☆116Updated last month
- Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.☆95Updated 2 months ago
- RadTract: enhanced tractometry with radiomics-based imaging biomarkers for improved predictive modelling.☆13Updated 3 months ago
- Deep-learning Radiomics for Classification Modelling☆84Updated 3 years ago
- ☆25Updated 3 weeks ago
- Example docker containers for the WMH Segmentation Challenge☆22Updated 5 years ago
- Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.☆28Updated last week