The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas

Tarih
2020
Yazar
Yergin, M.
Kizilkilic, O.
İŞLER, Cihan
Kocer, N.
Islak, C.
Alis, D.
Bagcilar, O.
Senli, Y. D.
Üst veri
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Özet
AIM: To explore the value of quantitative texture analysis of conventional magnetic resonance imaging (MRI) sequences using artificial neural networks (ANN) for the differentiation of high-grade gliomas (HGG) and low-grade gliomas (LGG).
Bağlantı
http://hdl.handle.net/20.500.12627/5163
https://doi.org/10.1016/j.crad.2019.12.008
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