Fluence Map Prediction Using Deep Learning Models – Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy

Fluence Map Prediction Using Deep Learning Models – Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy

Purpose: Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a difficult and time-consuming task. In this study, we aim to develop a novel deep learning framework to generate clinical-quality plans by direct prediction of fluence maps from patient anatomy using convolutiona...

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Bibliographic Details
Main Authors: Wentao Wang, Yang Sheng, Chunhao Wang, Jiahan Zhang, Xinyi Li, Manisha Palta, Brian Czito, Christopher G. Willett, Qiuwen Wu, Yaorong Ge, Fang-Fang Yin, Q. Jackie Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Artificial Intelligence
Subjects:
deep learning
artificial intelligence
fluence map
treatment planning
convolutional neural network
pancreas
Online Access:https://www.frontiersin.org/article/10.3389/frai.2020.00068/full

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