Shortening image registration time using a deep neural network for patient positional verification in radiotherapy-Reference-Cited by-同舟云学术

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Shortening image registration time using a deep neural network for patient positional verification in radiotherapy

Published:2023-08-28 Issue:4 Volume:46 Page:1563-1572
ISSN:2662-4729
Container-title:Physical and Engineering Sciences in Medicine
language:en
Short-container-title:Phys Eng Sci Med

Author:

Mori Shinichiro,Hirai Ryusuke,Sakata Yukinobu,Koto Masashi,Ishikawa Hitoshi

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Biophysics,Radiological and Ultrasound Technology,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s13246-023-01320-w.pdf

Reference51 articles.

1. Wild C, Weiderpass E, Stewart B (2020) World Cancer Report Cancer 2020. IARC Press, Imprimerie Faurite, France

2. Delaney G, Jacob S, Featherstone C, Barton M (2005) The role of radiotherapy in cancer treatment: estimating optimal utilization from a review of evidence-based clinical guidelines. Cancer 104:1129–1137

3. Zubizarreta E, Van Dyk J, Lievens Y (2017) Analysis of global Radiotherapy needs and costs by Geographic Region and Income Level. Clin Oncol (R Coll Radiol) 29:84–92

4. Perrier L, Morelle M, Pommier P, Lagrange JL, Laplanche A, Dudouet P et al (2013) Cost of prostate image-guided radiation therapy: results of a randomized trial. Radiother Oncol 106:50–58

5. Peeters A, Grutters JP, Pijls-Johannesma M, Reimoser S, De Ruysscher D, Severens JL et al (2010) How costly is particle therapy? Cost analysis of external beam radiotherapy with carbon-ions, protons and photons. Radiother Oncol 95:45–53

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