https://github.com/brainvisa/morpho-deepsulci

Deep learning methods for Morphologist sulci recognition
https://github.com/brainvisa/morpho-deepsulci

Last synced: 2 days ago
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Deep learning methods for Morphologist sulci recognition

• Host: GitHub
• URL: https://github.com/brainvisa/morpho-deepsulci
• Owner: brainvisa
• Created: 2019-07-17T12:49:15.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-07-17T13:20:29.000Z (4 months ago)
• Last Synced: 2024-08-02T16:45:39.338Z (3 months ago)
• Language: Python
• Size: 612 KB
• Stars: 8
• Watchers: 11
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-uk-biobank - morpho-deepsulci

README

        
# Deep learning methods for Morphologist sulci recognition

This repository contains the methods described in the following articles:

### [Borne L., Rivière D., Mancip M. and Mangin J.F., 2020. Automatic labeling of cortical sulci using patch-or CNN-based segmentation techniques combined with bottom-up geometric constraints. *Medical Image Analysis*](https://doi.org/10.1016/j.media.2020.101651)

This paper proposes and compares methods to automatically label the cortical folds.

The code developed for the UNET model is available [here](https://github.com/brainvisa/morpho-deepsulci/tree/master/python/deepsulci/sulci_labeling/method).

If you want to appply the model on your own dataset, the trained model is usable in the latest of Morphologist in [BrainVisa](https://brainvisa.info/).

### [Borne L., Rivière D., Cachia A., Roca P., Mellerio C., Oppenheim C. and Mangin J.F., 2021. Automatic recognition of specific local cortical folding patterns. *NeuroImage*](https://doi.org/10.1016/j.neuroimage.2021.118208)

The second paper proposes 3 methods to automatically classify local cortical folding patterns:

the first one based on a Support Vector Machine (SVM) classifier,

the second one based on Scoring by Non-local Image Patch Estimator (SNIPE)

and the third one based on a convolutionnal neural networks (Resnet).

The code developed for these 3 methods is available [here](https://github.com/brainvisa/morpho-deepsulci/tree/master/python/deepsulci/pattern_classification/method).