Data for: Prediction of early metastatic disease in experimental breast cancer bone metastasis by combining PET/CT and MRI parameters to a Model-Averaged Neural Network.

Published: 16 Nov 2018 | Version 1 | DOI: 10.17632/djg7wrpg4h.1
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Description of this data

Raw Data and Model-Averaged Neural Network for the prediction of breast cancer bone metastasis development in a rat model.
Required software: R or R-Studio.

Experiment data files

This data is associated with the following publication:

Prediction of early metastatic disease in experimental breast cancer bone metastasis by combining PET/CT and MRI parameters to a Model-Averaged Neural Network

Published in: Bone

Latest version

  • Version 1

    2018-11-16

    Published: 2018-11-16

    DOI: 10.17632/djg7wrpg4h.1

    Cite this dataset

    Ellmann, Stephan (2018), “Data for: Prediction of early metastatic disease in experimental breast cancer bone metastasis by combining PET/CT and MRI parameters to a Model-Averaged Neural Network.”, Mendeley Data, v1 http://dx.doi.org/10.17632/djg7wrpg4h.1

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Categories

Artificial Neural Networks, Breast Cancer, Machine Learning Algorithm, Metastasis, Bone Metastasis

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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