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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Neuro Oncol
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Oxford University Press 2019
Aiheet:
Neuro-Imaging
Linkit: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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