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Evaluation of artificial intelligence and optical image recognition techniques used in OneIso, an off-axis Winston-Lutz quality assurance phantom.

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第一作者： Elliot,Grafil

第一单位： Luca Medical Systems, 83 W 8800 S, Spanish Fork, Utah, 84660, UNITED STATES.

作者： Elliot,Grafil ^[1] ; Paul,De Jean ^[1] ; Dante,Capaldi ^[2] ; Lawrie B,Skinner ^[3] ; Lei,Xing ^[4] ; Amy S,Yu ^[3]

作者单位： Luca Medical Systems, 83 W 8800 S, Spanish Fork, Utah, 84660, UNITED STATES. ^[1] Department of Radiation Oncology, University of California San Francisco, 505 Parnassus Ave, San Francisco, California, 94143, UNITED STATES. ^[2] Department of Radiation Oncology, Stanford University, 875 Blake Wilbur Dr, Stanford, California, 94305-6104, UNITED STATES. ^[3] Department of Radiation Oncology, Stanford University, 875 Blake Wilbur Drive, Stanford, California, 94305-6104, UNITED STATES. ^[4]

关键词 Convolutional Neural Networks Machine Learning Off-axis Winston Lutz OneIso Single-isocenter Multitarget Stereotactic-Radiosurgery

DOI 10.1088/2057-1976/ada037

PMID 39689372

发布时间 2025-06-18

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Evaluation of artificial intelligence and optical image recognition techniques used in OneIso, an off-axis Winston-Lutz quality assurance phantom.

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Evaluation of artificial intelligence and optical image recognition techniques used in OneIso, an off-axis Winston-Lutz quality assurance phantom.

Biomedical physics & engineering express

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