Prediction of the output factor using machine and deep learning approach in uniform scanning proton therapy.

Journal: Journal of applied clinical medical physics

Published Date: May 17, 2020

Abstract

PURPOSE: The purpose of this work is to develop machine and deep learning-based models to predict output and MU based on measured patient quality assurance (QA) data in uniform scanning proton therapy (USPT).

Authors

Hardev S Grewal

Oklahoma Proton Center, Oklahoma City, OK, USA.
Michael S Chacko

Oklahoma Proton Center, Oklahoma City, OK, USA.
Salahuddin Ahmad

Department of Radiation Oncology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Hosang Jin

Department of Radiation Oncology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

Keywords

Algorithms Deep Learning Humans Neural Networks, Computer Normal Distribution Proton Therapy

External Resources

View on PubMed Access via DOI PubMed (32419245)

Prediction of the output factor using machine and deep learning approach in uniform scanning proton therapy.

Abstract

Authors

Keywords

External Resources

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