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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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Podrobná bibliografie
Vydáno v:Neuro Oncol
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2019
Témata:
On-line přístup: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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