NIMG-08. PREDICTION OF LOWER-GRADE GLIOMA MOLECULAR SUBTYPES USING DEEP LEARNING

INTRODUCTION: It is useful to know the molecular subtype of lower-grade gliomas (LGG) when deciding on a treatment strategy. This study aims to diagnose this preoperatively. METHODS: A deep learning model was developed to predict the 3-group molecular subtype using multimodal data including magnetic...

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Bibliografische gegevens
Gepubliceerd in:Neuro Oncol
Hoofdauteurs: Muragaki, Yoshihiro, Matsui, Yutaka, Maruyama, Takashi, Nitta, Masayuki, Saito, Taiichi, Tsuzuki, Shunsuke, Tamura, Manabu, Fukuya, Yasukazu, Asano, Hidetsugu, Kusuda, Kaori, Kawamata, Takakazu, Masamune, Ken
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Oxford University Press 2020
Onderwerpen:
Neuroimaging
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7651170/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noaa215.621
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