Neural network dose prediction for cervical brachytherapy: Overcoming data scarcity for applicator-specific models.

Journal: Medical physics
Published Date: May 30, 2024

Abstract

BACKGROUND: 3D neural network dose predictions are useful for automating brachytherapy (BT) treatment planning for cervical cancer. Cervical BT can be delivered with numerous applicators, which necessitates developing models that generalize to multiple applicator types. The variability and scarcity of data for any given applicator type poses challenges for deep learning.

Authors

  • Lance C Moore
    Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Fritz Ahern
    Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Lingyi Li
    Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Karoline Kallis
    Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Kelly Kisling
    Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Katherina G Cortes
    Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Chika Nwachukwu
    Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
  • Dominique Rash
    Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Catheryn M Yashar
    Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Jyoti Mayadev
    Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Jingjing Zou
    Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego and Moores Cancer Center, La Jolla, California, USA.
  • Nuno Vasconcelos
    Department of Electrical and Computer Engineering (J.C., L.R., K.A., R.D., N.V.), University of California San Diego, La Jolla, California.
  • Sandra M Meyers
    Department of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, CA.

Keywords

External Resources

Popular Topics
Recent Journals