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NIMG-30. REPRODUCIBLE RADIOMIC MAPPING OF TUMOR CELL DENSITY BY MACHINE LEARNING AND DOMAIN ADAPTATION

BACKGROUND: An important challenge in radiomics research is reproducibility. Images are collected on different image scanners and protocols, which introduces significant variability even for the same type of image across institutions. In the present proof-of-concept study, we address the reproducibi...

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書目詳細資料
發表在:Neuro Oncol
Main Authors: Wang, Lujia, Yoon, Hyunsoo, Hawkins-Daarud, Andrea, Singleton, Kyle, Clark-Swanson, Kamala, Bendok, Bernard, Mrugala, Maciej, Eschbacher, Jenny, Smith, Kris, Nakaji, Peter, Gonzalez, Ashlyn, Nespodzany, Ashley, Baxter, Leslie, Wu, Teresa, Swanson, Kristin, Hu, Leland, Li, Jing
格式: Artigo
語言:Inglês
出版: Oxford University Press 2019
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6846936/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noz175.700
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