NIMG-67. DEVELOPMENT OF VERSATILE MACHINE-LEARNING APPROACHES FOR RADIOGENOMICS OF GLIOMA IN DIFFERENT COHORTS

BACKGROUND: Radiogenomics aims to analyze clinical images and information, and to predict key molecular profiles of tumors. However, imaging protocol is usually different in facilities, and it has been rarely examined whether the performance of developed methods in a dataset is robustly sustained ev...

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Vydáno v:Neuro Oncol
Hlavní autoři: Takahashi, Masamichi, Kawaguchi, Risa, Takahashi, Satoshi, Miyake, Mototaka, Kinoshita, Manabu, Ichimura, Koichi, Hamamoto, Ryuji, Narita, Yoshitaka, Sese, Jun
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2019
Témata:
Neuro-Imaging
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6847293/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noz175.736
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