Medical image detection using deep learning

  • Authors
  • García Ocaña I, López-Linares Román K, Lete N, González Ballester MA, Macía Oliver I
  • UPF authors
  • GONZALEZ BALLESTER, MIGUEL ANGEL;
  • Authors of the book
  • Chen, Yen-Wei; Jain, Lakhmi C. (Eds.)
  • Book title
  • Deep Learning in Healthcare
  • Publication year
  • 2020
  • Pages
  • 17-31
  • ISBN
  • 978-3-030-32606-7
  • Abstract
  • This chapter provides an introduction to deep learning-based systems for object detection and their applications in medical image analysis. First, common deep learning architectures for image detection are briefly explained, including scanning-based methods and end-to-end detection systems. Some considerations about the training scheme and loss functions are also included. Then, an overview of relevant publications in anatomical and pathological structure detection and landmark detection using convolutional neural networks is provided. Finally, some concluding remarks and future directions are presented.
  • Complete citation
  • García Ocaña I, López-Linares Román K, Lete N, González Ballester MA, Macía Oliver I. Medical image detection using deep learning. In: Chen, Yen-Wei; Jain, Lakhmi C. (Eds.). Deep Learning in Healthcare. 1 ed. 2020. p. 17-31.
Bibliometric indicators
  • 1 times cited Scopus
  • Índex Scimago de 0