A comparative study of deep learning-based knowledge-based planning methods for 3D dose distribution prediction of head and neck.

Journal: Journal of applied clinical medical physics

Published Date: May 3, 2023

Abstract

PURPOSE: In this paper, we compare four novel knowledge-based planning (KBP) algorithms using deep learning to predict three-dimensional (3D) dose distributions of head and neck plans using the same patients' dataset and quantitative assessment metrics.

Authors

Alexander F I Osman

Department of Radiation Oncology, American University of Beirut Medical Center, Riad El-Solh, 1107 2020, Beirut, Lebanon.
Nissren M Tamam

Department of Physics, College of Science, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh, 11671, Saudi Arabia.
Yousif A M Yousif

Department of Radiation Oncology, North West Cancer Centre - Tamworth Hospital, Tamworth, Australia.

Keywords

Deep Learning Head Humans Neck Organs at Risk Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated

External Resources

View on PubMed Access via DOI PubMed (37138549)

A comparative study of deep learning-based knowledge-based planning methods for 3D dose distribution prediction of head and neck.

Abstract

Authors

Keywords

External Resources

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