Dosimetric assessment of patient dose calculation on a deep learning-based synthesized computed tomography image for adaptive radiotherapy.

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Bibliographic Details
Title: Dosimetric assessment of patient dose calculation on a deep learning-based synthesized computed tomography image for adaptive radiotherapy.
Authors: Lemus OMD; Department of Radiation Oncology, Columbia University Irving Medical Center, New York City, New York, USA., Wang YF; Department of Radiation Oncology, Columbia University Irving Medical Center, New York City, New York, USA., Li F; Department of Radiation Oncology, Columbia University Irving Medical Center, New York City, New York, USA., Jambawalikar S; Department of Radiology, Columbia University Irving Medical Center, New York City, New York, USA., Horowitz DP; Department of Radiation Oncology, Columbia University Irving Medical Center, New York City, New York, USA.; Herbert Irving Comprehensive Cancer Center, New York City, New York, USA., Xu Y; Department of Radiation Oncology, Columbia University Irving Medical Center, New York City, New York, USA., Wuu CS; Department of Radiation Oncology, Columbia University Irving Medical Center, New York City, New York, USA.
Source: Journal of applied clinical medical physics [J Appl Clin Med Phys] 2022 Jul; Vol. 23 (7), pp. e13595. Date of Electronic Publication: 2022 Mar 25.
Publication Type: Journal Article
Journal Info: Publisher: Wiley on behalf of American Association of Physicists in Medicine Country of Publication: United States NLM ID: 101089176 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1526-9914 (Electronic) Linking ISSN: 15269914 NLM ISO Abbreviation: J Appl Clin Med Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
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