Machine learning for contour classification in TG-263 noncompliant databases

David Livermore; Thomas Trappenberg; Alasdair Syme

doi:10.1002/acm2.13662

Machine learning for contour classification in TG-263 noncompliant databases

David Livermore, Thomas Trappenberg, Alasdair Syme

Earth and Planetary Sciences

科研成果: 期刊稿件 › 文章 › 同行评审

2 引用（Scopus）

源语言	英语
文章编号	e13662
期刊	Journal of Applied Clinical Medical Physics
卷	23
期	9
DOI	https://doi.org/10.1002/acm2.13662
出版状态	已出版 - 9月 2022

!!!ASJC Scopus Subject Areas

仪表化
辐射
放射学核医学与影像学

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title = "Machine learning for contour classification in TG-263 noncompliant databases",

keywords = "image classification, machine learning, standardization",

author = "David Livermore and Thomas Trappenberg and Alasdair Syme",

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Machine learning for contour classification in TG-263 noncompliant databases

!!!ASJC Scopus Subject Areas

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