Intraoperative cytological diagnosis of brain tumours: A preliminary study using a deep learning model.

Journal: Cytopathology : official journal of the British Society for Clinical Cytology
Published Date:

Abstract

BACKGROUND: Intraoperative pathological diagnosis of central nervous system (CNS) tumours is essential to planning patient management in neuro-oncology. Frozen section slides and cytological preparations provide architectural and cellular information that is analysed by pathologists to reach an intraoperative diagnosis. Progress in the fields of artificial intelligence and machine learning means that AI systems have significant potential for the provision of highly accurate real-time diagnosis in cytopathology.

Authors

  • Erdener Ozer
    Department of Pathology, Dokuz Eylul University School of Medicine, Izmir, Turkey.
  • Ali Enver Bilecen
    Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey.
  • Nur Basak Ozer
    Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey.
  • Berrin Yanikoglu
    Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey.