Evaluation of Learning Approaches Based on Convolutional Neural Networks for Mammogram Classification

Roberto Arias, Fabián Narváez, Hugo Franco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationSmart Technologies, Systems and Applications - 1st International Conference, SmartTech-IC 2019, Proceedings
EditorsFabián R. Narváez, Diego F. Vallejo, Paulina A. Morillo, Julio R. Proaño
PublisherSpringer
Pages273-287
Number of pages15
ISBN (Print)9783030467845
DOIs
StatePublished - 1 Jan 2020
Event1st International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2019 - Quito, Ecuador
Duration: 2 Dec 20194 Dec 2019

Publication series

NameCommunications in Computer and Information Science
Volume1154 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference1st International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2019
CountryEcuador
CityQuito
Period2/12/194/12/19

Keywords

  • Class imbalance
  • Convolutional Neural Network
  • Focal loss
  • Gradient clipping
  • Mammogram
  • Transfer learning

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  • Cite this

    Arias, R., Narváez, F., & Franco, H. (2020). Evaluation of Learning Approaches Based on Convolutional Neural Networks for Mammogram Classification. In F. R. Narváez, D. F. Vallejo, P. A. Morillo, & J. R. Proaño (Eds.), Smart Technologies, Systems and Applications - 1st International Conference, SmartTech-IC 2019, Proceedings (pp. 273-287). (Communications in Computer and Information Science; Vol. 1154 CCIS). Springer. https://doi.org/10.1007/978-3-030-46785-2_22