GitHub topics: nnu-net
risc-mi/totalsegmentator2D
TotalSegmentator 2D: A Tool for Rapid Anatomical Structure Analysis
Language: Python - Size: 10.3 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0
woctezuma/playing-with-simpleitk
Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.
Language: Jupyter Notebook - Size: 29.6 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 10 - Forks: 7
JZK00/DeepGBM-Recure
Integrating Automated Segmentation, Risk Stratification, and Recurrence Spatial Mapping for Glioblastoma Postoperative Management
Size: 5.08 MB - Last synced at: 27 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0
emile-gaudinot/ML4MIP Fork of pvmeng/ML4MIP
Machine Learning for Medical Image Processing. Project done for Charité, the university hospital of Berlin. The aim was to segment coronary arteries and then extract a graph from it, in order to aid detection of coronary artery disease (CAD).
Language: Python - Size: 50.7 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0
neuropoly/totalspineseg
Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.
Language: Python - Size: 2.76 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 69 - Forks: 4
yalda-zafari/StrokeSegmentation-DeepModels
Performance comparison of deep learning models for stroke lesion segmentation across ISLES 2022 and ATLAS v2.0.
Size: 4.13 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
ander-elkoroaristizabal/nnunet-ms-segmentation
This repository contains an adapatation of the nnU-Net code to the detection of new or evolving Multiple Sclerosis lesions in FLAIR Magnetic Resonance images.
Language: Jupyter Notebook - Size: 33.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 1
tureckova/Abdomen-CT-Image-Segmentation
The code for the paper Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates.
Language: Python - Size: 224 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 31 - Forks: 10
arnejad/FLBS
A Fast and Memory-efficient (Light) Brain MRI Segmentation Framework for Clinical Applications
Language: MATLAB - Size: 6.84 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
DIAGNijmegen/AbdomenMRUS-csPCa-CAD-nnUNet
Clinically Significant Prostate Cancer Detection in bpMRI using models trained with Report Guided Annotations
Language: Python - Size: 443 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0
ZoraizQ/mlia-project
Adapt nnUNet for brain tumor segmentation methods to 2D multi-class BRATS slices
Language: Jupyter Notebook - Size: 114 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
