Assessing the performance of an automated breast treatment planning software-Reference-Cited by-同舟云学术

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Assessing the performance of an automated breast treatment planning software

Published:2021-03-25 Issue:4 Volume:22 Page:115-120
ISSN:1526-9914
Container-title:Journal of Applied Clinical Medical Physics
language:en
Short-container-title:J Appl Clin Med Phys

Author:

Dragojević Irena¹,Hoisak Jeremy D. P.¹,Mansy Gina J.¹,Rahn Douglas A.¹,Manger Ryan P.¹

Affiliation:

1. Department of Radiation Medicine and Applied Sciences University of California – San Diego 3855 Health Sciences Dr. La Jolla CA92037USA

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.13228

Reference16 articles.

1. Cancer statistics, 2020

2. Supply and Demand for Radiation Oncology in the United States: Updated Projections for 2015 to 2025

3. Improved Planning Time and Plan Quality Through Multicriteria Optimization for Intensity-Modulated Radiotherapy

4. Experience-Based Quality Control of Clinical Intensity-Modulated Radiotherapy Planning

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence for breast cancer: Implications for diagnosis and management;Journal of Medicine, Surgery, and Public Health;2024-08

2. Automated treatment planning for whole breast irradiation with individualized tangential IMRT fields;Journal of Applied Clinical Medical Physics;2024-04-20

3. Implementation of automated personalised breast radiotherapy planning techniques with scripting in Raystation;The British Journal of Radiology;2023-03-01

4. Artificial intelligence based treatment planning of radiotherapy for locally advanced breast cancer;Physics and Imaging in Radiation Oncology;2021-10

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