Operating a treatment planning system using a deep‐reinforcement learning‐based virtual treatment planner for prostate cancer intensity‐modulated radiation therapy treatment planning-Reference-Cited by-同舟云学术

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Operating a treatment planning system using a deep‐reinforcement learning‐based virtual treatment planner for prostate cancer intensity‐modulated radiation therapy treatment planning

Published:2020-03-28 Issue:6 Volume:47 Page:2329-2336
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Shen Chenyang¹²,Nguyen Dan¹,Chen Liyuan¹,Gonzalez Yesenia¹²,McBeth Rafe¹,Qin Nan¹²,Jiang Steve B.¹,Jia Xun¹²

Affiliation:

1. Medical Artificial Intelligence and Automation (MAIA) Laboratory Department of Radiation Oncology University of Texas Southwestern Medical Center Dallas TX 75390USA

2. Innovative Technology Of Radiotherapy Computation and Hardware (iTORCH) Laboratory Department of Radiation Oncology University of Texas Southwestern Medical Center Dallas TX 75390USA

Funder

National Institutes of Health

Cancer Prevention and Research Institute of Texas

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14114

Reference41 articles.

1. Intensity-modulated radiotherapy: current status and issues of interest

2. Inverse planning for photon and proton beams

3. The physical basis of IMRT and inverse planning

4. Optimization of importance factors in inverse planning

5. Reduced-order parameter optimization for simplifying prostate IMRT planning

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