Knowledge-Based Tradeoff Hyperplanes for Head and Neck Treatment Planning.

Journal: International journal of radiation oncology, biology, physics

Published Date: Jan 24, 2020

PURPOSE: To develop a tradeoff hyperplane model to facilitate tradeoff decision-making before inverse planning.

Jiahan Zhang

Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.
Yaorong Ge

Department of Software and Information Systems, University of North Carolina at Charlotte, Charlotte, NC, United States.
Yang Sheng

Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.
Chunhao Wang

Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.
Jiang Zhang

College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, 610065, China.
Yuan Wu

State Key Laboratory of Precision Spectroscopy, Quantum Institute for Light and Atoms, Department of Physics and Electronic Science, East China Normal University, Shanghai 200062, China.
Qiuwen Wu

Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.
Fang-Fang Yin

Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.
Q Jackie Wu

Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.

Head and Neck Neoplasms Humans Knowledge Bases Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated

View on PubMed Access via DOI PubMed (31982497)