A deep learning approach to gold nanoparticle quantification in computed tomography.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published Date: Jun 11, 2021

Abstract

INTRODUCTION: Deep learning (DL) is used to classify, detect, and quantify gold nanoparticles (AuNPs) in a human-sized phantom with a clinical MDCT scanner.

Authors

  • Michael Oumano
    Medical Physics Program, Department of Physics and Applied Physics, University of Massachusetts Lowell, Lowell, MA 01854, United States; Landauer Medical Physics, 2 Science Road, Glenwood, IL 60425, United States; Department of Medical Physics and Radiation Safety, Rhode Island Hospital, Providence, RI 02903, United States. Electronic address: moumano@landauermp.com.
  • Hengyong Yu
    Department of Electrical and Computer Engineering, University of Masachusetts Lowell, Lowell, MA 01854, USA.

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