Explainable machine learning for patient-specific quality assurance in intensity-modulated radiotherapy based on anatomical structures.
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| Title: | Explainable machine learning for patient-specific quality assurance in intensity-modulated radiotherapy based on anatomical structures. |
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| Authors: | Zhang X; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China., Huang Y; Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Wang J; Department of Logistics, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Zhang X; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China., Chen H; Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Luo Y; Department of Logistics, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Xie J; Yida Technology Service Company, Children's Hospital of Fudan University, Shanghai, China., Xu Z; Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Xu Y; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.; Department of Logistics, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. |
| Source: | Journal of applied clinical medical physics [J Appl Clin Med Phys] 2026 Jul; Vol. 27 (7), pp. e70667. |
| 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 |
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| DOI: | 10.1002/acm2.70667 |
