Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline

  • Authors
  • Rafael-Palou X, Bonavita I, Ceresa M, Piella G, Ribas V, González Ballester MA
  • UPF authors
  • PIELLA FENOY, GEMA; GONZALEZ BALLESTER, MIGUEL ANGEL;
  • Type
  • Scholarly articles
  • Journal títle
  • Computer Methods and Programs in Biomedicine
  • Publication year
  • 2020
  • Volume
  • 185
  • Pages
  • 1-9
  • ISSN
  • 0169-2607
  • Publication State
  • Published
  • Abstract
  • Conclusions Despite the limited size of the lung cancer datasets, integrating predictive models of nodule malignancy improves prediction of lung cancer.
  • Complete citation
  • Rafael-Palou X, Bonavita I, Ceresa M, Piella G, Ribas V, González Ballester MA. Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline. Computer Methods and Programs in Biomedicine 2020; 185( ): 1-9.
Bibliometric indicators
  • 14 times cited Scopus
  • 9 times cited WOS
  • Índex Scimago de 0.924(2020)