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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Dettagli Bibliografici
Pubblicato in:Neuro Oncol
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2019
Soggetti:
Neuro-Imaging
Accesso online: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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