A deep learning-based prediction model for gamma evaluation in patient-specific quality assurance-Reference-Cited by-同舟云学术

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A deep learning-based prediction model for gamma evaluation in patient-specific quality assurance

Published:2018-08-17 Issue:9 Volume:45 Page:4055-4065
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Tomori Seiji¹²,Kadoya Noriyuki²,Takayama Yoshiki²,Kajikawa Tomohiro²,Shima Katsumi³,Narazaki Kakutarou¹,Jingu Keiichi²

Affiliation:

1. Department of Radiology; National Hospital Organization Sendai Medical Center; Sendai Miyagi 983-8520 Japan

2. Department of Radiation Oncology; Tohoku University Graduate School of Medicine; Sendai Miyagi 980-8574 Japan

3. Department of Radiology; National Hospital Organization Hakodate National Hospital; Hakodate Hokkaido 041-8512 Japan

Publisher

Wiley

Subject

General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mp.13112/fullpdf

Reference31 articles.

1. Intensity-modulated radiation therapy (IMRT) reduces small bowel, rectum, and bladder doses in patients with cervical cancer receiving pelvic and para-aortic irradiation;Portelance;Int J Radiat Oncol Biol Phys,2001

2. Comprehensive quality assurance for the delivery of intensity modulated radiotherapy with a multileaf collimator used in the dynamic mode;LoSasso;Med Phys,2001

3. IMRT commissioning: multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119;Ezzell;Med Phys,2009

4. A technique for the quantitative evaluation of dose distributions;Low;Med Phys,1998

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