NI-07 VALIDATION OF MACHINE LEARNING BASED HIGH GRADE GLIOMA MR SEGMENTATION VIA METHIONINE PET

Treatment planning and lesion-follow up are generally conducted by contrast-enhanced MRI in glioma patient care. On the other hand, there are, however, substantial concerns whether MRI actually reflects the extension or activity of this neoplasm, which information should be fundamentally important a...

詳細記述

保存先:
書誌詳細
出版年:Neurooncol Adv
主要な著者: Kinoshita, Manabu, Ozaki, Tomohiko, Arita, Hideyuki, Kagawa, Naoki, Kanemura, Yonehiro, Fujimoto, Yasunori, Sakai, Mio, Watanabe, Yoshiyuki, Nakanishi, Katsuyuki, Shimosegawa, Eku, Hatazawa, Jun, Kishima, Haruhiko
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2019
主題:
Abstracts
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7213347/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/noajnl/vdz039.120
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