Deep learning-based dominant index lesion segmentation for MR-guided radiation therapy of prostate cancer.

Journal: Medical physics
Published Date: Mar 13, 2023

Abstract

BACKGROUND: Dose escalation radiotherapy enables increased control of prostate cancer (PCa) but requires segmentation of dominant index lesions (DIL). This motivates the development of automated methods for fast, accurate, and consistent segmentation of PCa DIL.

Authors

  • Josiah Simeth
    Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.
  • Jue Jiang
    Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
  • Anton Nosov
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Andreas Wibmer
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY;
  • Michael Zelefsky
    Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, United States.
  • Neelam Tyagi
    Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Harini Veeraraghavan
    Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY; veerarah@mskcc.org.

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