Diagnostic support in pediatric craniopharyngioma using deep learning.

Journal: Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
PMID: 38647660

Abstract

PURPOSE: We studied a pediatric group of patients with sellar-suprasellar tumors, aiming to develop a convolutional deep learning algorithm for radiological assistance to classify them into their respective cohort.

Authors

  • Giovanni Castiglioni
    Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Santiago, Chile.
  • Joaquín Vallejos
    Department of Neuroradiology, Institute of Neurosurgery Dr. Alfonso Asenjo, Santiago, Chile.
  • Jhon Intriago
    Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Santiago, Chile.
  • María Isabel Hernández
    Institute of Neurosurgery Dr. Alfonso Asenjo, Santiago, Chile.
  • Samuel Valenzuela
    Institute of Neurosurgery Dr. Alfonso Asenjo, Santiago, Chile.
  • José Fernández
    Institute of Neurosurgery Dr. Alfonso Asenjo, Santiago, Chile.
  • Ignacio Castro
    Faculty of Medicine, Mayor University, Santiago, Chile.
  • Sergio Valenzuela
    Institute of Neurosurgery Dr. Alfonso Asenjo, Santiago, Chile.
  • Pablo A Estevez
    Department of Electrical Engineering, University of Chile, Santiago, Chile.
  • Cecilia Okuma
    Department of Neuroradiology, Institute of Neurosurgery Dr. Alfonso Asenjo, Santiago, Chile. cecilia.okuma@gmail.com.

Keywords

External Resources

Popular Topics
Recent Journals