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Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs

Machine learning (ML) has the potential to revolutionize the field of radiation oncology, but there is much work to be done. In this article, we approach the radiotherapy process from a workflow perspective, identifying specific areas where a data-centric approach using ML could improve the quality...

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書誌詳細
主要な著者: Mary Feng, Gilmer Valdes, Nayha Dixit, Timothy D. Solberg
フォーマット: Artigo
言語:Inglês
出版事項: Frontiers Media S.A. 2018-04-01
シリーズ:Frontiers in Oncology
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オンライン・アクセス:http://journal.frontiersin.org/article/10.3389/fonc.2018.00110/full
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