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[unmaintained] This repository hosts NiftyNet networks pre-trained for specific tasks

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I'm reading the code and the paper (highres3dnet_brain_parcellation) and I can't find what anatomical parcellation corresponds to each class. It would be great if there was a description for each...

How can we access these pre trained models in Python script from library.... Say like in keras we can download VGG16 pre-trained ResNet50 pre-trained etc etc...??

As per #1 CC-BY is chosen as the default licence for the model zoo entries. However, this might not be compatible with the licence of the training dataset that was...

**STATUS: IN PROGRESS** Closes #2 Mirrored all INI configuration files to YAML format. * [INI sections][configparser] are top-level [YAML Sequence nodes][yaml-node] * [INI key-value pairs][configparser] are [YAML Scalar nodes][yaml-node] [configparser]:...

This is virtually the same as https://github.com/NifTK/NiftyNet/issues/168, but for the configuration files found in this repository.