Targeted transfer learning to improve performance in small medical physics datasets.

Journal: Medical physics
Published Date:

Abstract

PURPOSE: To perform an in-depth evaluation of current state of the art techniques in training neural networks to identify appropriate approaches in small datasets.

Authors

  • Miguel Romero
    Master of Science in Data Science, University of San Francisco, San Francisco, CA, 94105, USA.
  • Yannet Interian
    Data Analytic Program, University of San Francisco, San Francisco, California.
  • Timothy Solberg
    Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • Gilmer Valdes
    Department of Radiation Oncology, University of California, San Francisco, California.