Now showing items 1-2 of 2

    • An out-of-the-box full-network embedding for convolutional neural networks 

      Garcia-Gasulla, Dario; Vilalta Arias, Armand; Parés, Ferran; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      Features extracted through transfer learning can be used to exploit deep learning representations in contexts where there are very few training samples, where there are limited computational resources, or when the tuning ...
    • Data augmentation for deep learning of non-mydriatic screening retinal fundus images 

      Moya Sánchez, Eduardo Ulises; Sánchez Pérez, Abraham; Zapata Victori, Miguel Ángel; Moreno, Jonatan; Garcia Gasulla, Dario; Parés, Ferran; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises (Springer, 2018)
      Conference report
      Restricted access - publisher's policy
      Fundus image is an effective and low-cost tool to screen for common retinal diseases. At the same time, Deep Learning (DL) algorithms have been shown capable of achieving similar or even better performance accuracies than ...