Error detection model developed using a multi‐task convolutional neural network in patient‐specific quality assurance for volumetric‐modulated arc therapy-Reference-Cited by-同舟云学术

Error detection model developed using a multi‐task convolutional neural network in patient‐specific quality assurance for volumetric‐modulated arc therapy

Published:2021-07-29 Issue:9 Volume:48 Page:4769-4783
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Kimura Yuto¹²,Kadoya Noriyuki¹,Oku Yohei²,Kajikawa Tomohiro¹³,Tomori Seiji¹⁴,Jingu Keiichi¹

Affiliation:

1. Department of Radiation Oncology Tohoku University Graduate School of Medicine Sendai Japan

2. Radiation Oncology Center Ofuna Chuo Hospital Kamakura Japan

3. Department of Radiology, Graduate School of Medical Science Kyoto Prefectural University of Medicine Kyoto Japan

4. Department of Radiology National Hospital Organization Sendai Medical Center Sendai Japan

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15031

Reference39 articles.

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3. A technique for the quantitative evaluation of dose distributions

4. Radiation Therapy Quality Assurance Tasks and Tools: The Many Roles of Machine Learning

5. Integration of AI and Machine Learning in Radiotherapy QA

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