Artificial Intelligence-Based Autosegmentation: Advantages in Delineation, Absorbed Dose-Distribution, and Logistics.

Journal: Advances in radiation oncology
Published Date:

Abstract

PURPOSE: The study's purpose was to compare the performance of artificial intelligence (AI) in auto-contouring compared with a human practitioner in terms of precision, differences in dose distribution, and time consumption.

Authors

  • Gustavo R Sarria
    Department of Radiation Oncology.
  • Fabian Kugel
    Department of Radiation Oncology.
  • Fred Roehner
    Department of Radiation Oncology.
  • Julian Layer
    Department of Radiation Oncology.
  • Cas Dejonckheere
    Department of Radiation Oncology.
  • Davide Scafa
    Department of Radiation Oncology.
  • Muemtaz Koeksal
    Department of Radiation Oncology.
  • Christina Leitzen
    Department of Radiation Oncology.
  • Leonard Christopher Schmeel
    Department of Radiation Oncology.

Keywords

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