Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours.

Journal: Journal of applied clinical medical physics
Published Date:

Abstract

PURPOSE: This study evaluates deep learning (DL) based dose prediction methods in head and neck cancer (HNC) patients using two types of input contours.

Authors

  • Masahide Saito
    Department of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan.
  • Noriyuki Kadoya
    Department of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan. kadoya.n@rad.med.tohoku.ac.jp.
  • Yuto Kimura
    Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan; Radiation Oncology Center, Ofuna Chuo Hospital, Kamakura, Japan.
  • Hikaru Nemoto
    Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan.
  • Ryota Tozuka
    Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, 409-3898, Japan.
  • Keiichi Jingu
    Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan.
  • Hiroshi Onishi
    Department of Radiology, University of Yamanashi, Yamanashi, Japan.