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build dafne
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stebo85 committed Jun 10, 2024
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2 changes: 2 additions & 0 deletions recipes/dafne/README.md
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## dafne/toolVersion ##
Dafne is a program for the segmentation of medical images, specifically MR images, that includes advanced deep learning models for an automatic segmentation. The user has the option of refining the automated results, and the software will learn from the improvements and modify its internal models accordingly. In order to continuously improve the performance, the deep learning modules are stored in a central server location.

Dafne uses incremental learning and federated learning to continuously adapt the models to the need of our users. This means that when you perform a segmentation, initially it will not be perfect. You will then have the chance to refine it. When you are satisfied with your dataset, you will export your ROI masks (see below). During this export procedure, the software automatically learns from your refined segmentation and sends the updated model back to our servers. This is why the export procedure takes some time. We will automatically integrate your updated model with the models of our other users, so you will always receive the most accurate predictor. You can also manually perform the incremental learning from the Tools menu (see below)

Example:
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dafne
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4 changes: 2 additions & 2 deletions recipes/segmentator/README.md
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## segmentator/1.6.1 ##
## segmentator/toolVersion ##
Segmentator is a free and open-source package for multi-dimensional data exploration and segmentation for 3D images. This application is mainly developed and tested using ultra-high field magnetic resonance imaging (MRI) brain data.

The goal is to provide a complementary tool to the already available brain tissue segmentation methods (to the best of our knowledge) in other software packages (FSL, CBS-Tools, ITK-SNAP, Freesurfer, SPM, Brainvoyager, etc.).
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More documentation can be found here: https://github.com/ofgulban/segmentator/wiki

To make the executables and scripts inside this container transparently available in the command line of environments where Neurocommand is installed: ml segmentator/1.6.1
To make the executables and scripts inside this container transparently available in the command line of environments where Neurocommand is installed: ml segmentator/toolVersion

Citation:
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