Data for: A Performance Comparison between Shallow and Deeper Neural Networks Supervised Classification of Tomosynthesis Breast Lesions Images

Published: 22 May 2018 | Version 1 | DOI: 10.17632/38xv8gwnbg.1

Description of this data

Source code of the employed procedures for image processing and features extraction.

Experiment data files

This data is associated with the following publication:

A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images

Published in: Cognitive Systems Research

Latest version

  • Version 1

    2018-05-22

    Published: 2018-05-22

    DOI: 10.17632/38xv8gwnbg.1

    Cite this dataset

    Bevilacqua, Vitoantonio; Moschetta, Marco; Brunetti, Antonio; Guerriero, Andrea; Trotta, Gianpaolo Francesco; Telegrafo, Michele (2018), “Data for: A Performance Comparison between Shallow and Deeper Neural Networks Supervised Classification of Tomosynthesis Breast Lesions Images”, Mendeley Data, v1 http://dx.doi.org/10.17632/38xv8gwnbg.1

Categories

Computer Science, Artificial Neural Networks, Image Processing, Convolutional Neural Network, Deep Learning

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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?

This dataset is 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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