A hybrid optimization strategy for deliverable intensity‐modulated radiotherapy plan generation using deep learning‐based dose prediction-Reference-Cited by-同舟云学术

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A hybrid optimization strategy for deliverable intensity‐modulated radiotherapy plan generation using deep learning‐based dose prediction

Published:2022-02-09 Issue:3 Volume:49 Page:1344-1356
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Sun Zihan¹²³,Xia Xiang¹²³,Fan Jiawei¹²³,Zhao Jun¹²³,Zhang Kang⁴,Wang Jiazhou¹²³,Hu Weigang¹²³

Affiliation:

1. Department of Radiation Oncology Fudan University Shanghai Cancer Center Shanghai China

2. Department of Oncology Shanghai Medical College Fudan University Shanghai China

3. Shanghai Key Laboratory of Radiation Oncology Shanghai China

4. United Imaging Healthcare Shanghai China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15462

Reference31 articles.

1. Guidance document on delivery, treatment planning, and clinical implementation of IMRT: Report of the IMRT subcommittee of the AAPM radiation therapy committee

2. Advances in Radiation Therapy: Conventional to 3D, to IMRT, to 4D, and Beyond

3. Prospective Randomized Study of Intensity-Modulated Radiotherapy on Salivary Gland Function in Early-Stage Nasopharyngeal Carcinoma Patients

4. Intensity-modulated radiotherapy versus conventional and 3D conformal radiotherapy in patients with head and neck cancer: Is there a worthwhile quality of life gain?

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