A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels.

Journal: Journal of biomedical informatics
Published Date: Aug 8, 2020

Abstract

PURPOSE: To present a Machine Learning pipeline for automatically relabeling anatomical structure sets in the Digital Imaging and Communications in Medicine (DICOM) format to a standard nomenclature that will enable data abstraction for research and quality improvement.

Authors

  • William C Sleeman Iv
    Virginia Commonwealth University, Department of Radiation Oncology, Richmond, VA, United States of America; Virginia Commonwealth University, Department of Computer Science, Richmond, VA, United States of America; National Radiation Oncology Program, Department of Veteran Affairs, Richmond, VA, United States of America. Electronic address: william.sleemaniv@vcuhealth.org.
  • Joseph Nalluri
    Virginia Commonwealth University, Department of Radiation Oncology, Richmond, VA, United States of America; National Radiation Oncology Program, Department of Veteran Affairs, Richmond, VA, United States of America.
  • Khajamoinuddin Syed
    Virginia Commonwealth University, Department of Computer Science, Richmond, VA, United States of America.
  • Preetam Ghosh
    Computer Science, Virginia Commonwealth University, 401 West Main Street, Richmond, 23284, VA, USA.
  • Bartosz Krawczyk
    Virginia Commonwealth University, Department of Computer Science, Richmond, VA, United States of America.
  • Michael Hagan
    Virginia Commonwealth University, Department of Radiation Oncology, Richmond, VA, United States of America; National Radiation Oncology Program, Department of Veteran Affairs, Richmond, VA, United States of America.
  • Jatinder Palta
    Virginia Commonwealth University, Department of Radiation Oncology, Richmond, VA, United States of America; National Radiation Oncology Program, Department of Veteran Affairs, Richmond, VA, United States of America.
  • Rishabh Kapoor
    Virginia Commonwealth University, Department of Radiation Oncology, Richmond, VA, United States of America; National Radiation Oncology Program, Department of Veteran Affairs, Richmond, VA, United States of America.

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