Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review.

Journal: Cancer medicine
PMID: 39812075

Abstract

BACKGROUND: Medical images play an important role in diagnosis and treatment of pediatric solid tumors. The field of radiology, pathology, and other image-based diagnostics are getting increasingly important and advanced. This indicates a need for advanced image processing technology such as Deep Learning (DL).

Authors

  • M A D Buser
    Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
  • J K van der Rest
    Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
  • M H W A Wijnen
    Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
  • R R de Krijger
    Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
  • A F W van der Steeg
    Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
  • M M van den Heuvel-Eibrink
    Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
  • M Reismann
    Department of Pediatric Surgery, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • S Veldhoen
    Department of Pediatric Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • L Pio
    Pediatric Surgery Unit, Université Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Bicêtre Hospital, Le Kremlin-Bicêtre, France.
  • M Markel
    Department of Pediatric Surgery, Charité-Universitätsmedizin Berlin, Berlin, Germany.

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