Generalizability of deep learning-based dose conversion model in proton beam therapy.

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Title: Generalizability of deep learning-based dose conversion model in proton beam therapy.
Authors: Kato R; Department of Radiation Physics and Technology, Southern Tohoku Proton Therapy Center, Koriyama, Fukushima, Japan.; Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan., Kadoya N; Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan., Kato T; Department of Radiological Sciences, School of Health Sciences, Fukushima Medical University, Fukushima, Fukushima, Japan., Tozuka R; Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.; Department of Radiology, University of Yamanashi, Chuo-city, Yamanashi, Japan., Ogawa S; Department of Radiation Physics and Technology, Southern Tohoku Proton Therapy Center, Koriyama, Fukushima, Japan.; Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan., Murakami M; Department of Radiation Oncology, Southern Tohoku Proton Therapy Center, Koriyama, Fukushima, Japan., Jingu K; Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Source: Journal of applied clinical medical physics [J Appl Clin Med Phys] 2026 Mar; Vol. 27 (3), pp. e70528.
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 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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ISSN:1526-9914
DOI:10.1002/acm2.70528