Convolutional Neural Networks and Feature-Visualization for Pathology Classification in Mammograms

Author:

Amalfitano AgustínORCID,Comas Diego S.ORCID,Meschino Gustavo J.ORCID,Ballarin Virginia L.ORCID

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Siegel, R.L., Miller, K.D., Jemal, A.: (2015) Cancer statistics. J CA: a Cancer J Clin 65(1), 5–29 (2015)

2. Luczynska, E., Heinze, S., Adamczyk, A., Rys, J., Mitus, J.W., Hendrick, E.: Comparison of the mammography, contrast-enhanced spectral mammography and ultrasonography in a group of 116 patients. J Anti-cancer Res 36(8), 4359–4366 (2016)

3. Heywang-Köbrunner, S.H., Hacker, A., Sedlacek, S.: Advantages and disadvantages of mammography screening. J Breast care 6(3), 199–207 (2011)

4. Litjens, G., et al.: A survey on deep learning in medical image analysis. J. Med. Image Anal. 42, 60–88 (2017). https://doi.org/10.1016/J.MEDIA.2017.07.005

5. Montavon, G., Samek, W., Müller, K.R.: Methods for interpreting and understanding deep neural networks. J Digit. Signal Process. 73, 1–15 (2018). https://doi.org/10.1016/j.dsp.2017.10.011

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