Deep Learning–Based Fluence Map Prediction for Pancreas Stereotactic Body Radiation Therapy With Simultaneous Integrated Boost

Deep Learning–Based Fluence Map Prediction for Pancreas Stereotactic Body Radiation Therapy With Simultaneous Integrated Boost

Purpose: Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a challenging task, especially with simultaneous integrated boost treatment approaches. We propose a deep learning (DL) framework to accurately predict fluence maps from patient anatomy and directly generate inten...

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Bibliographic Details
Main Authors: Wentao Wang, MS, Yang Sheng, PhD, Manisha Palta, MD, Brian Czito, MD, Christopher Willett, MD, Martin Hito, Fang-Fang Yin, PhD, Qiuwen Wu, PhD, Yaorong Ge, PhD, Q. Jackie Wu, PhD
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:Advances in Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2452109421000300

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http://www.sciencedirect.com/science/article/pii/S2452109421000300

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