Predicting isocitrate dehydrogenase status among adult patients with diffuse glioma using patient characteristics, radiomic features, and magnetic resonance imaging: Multi-modal analysis by variable vision transformer

To evaluate the performance of the multimodal model, termed variable Vision Transformer (vViT), in the task of predicting isocitrate dehydrogenase (IDH) status among adult patients with diffuse glioma. vViT was designed to predict IDH status using patient characteristics (sex and age), radiomic feat...

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Veröffentlicht in:	Magnetic resonance imaging 2024-09, Vol.111, p.266-276
Hauptverfasser:	Usuzaki, Takuma, Inamori, Ryusei, Shizukuishi, Takashi, Morishita, Yohei, Takagi, Hidenobu, Ishikuro, Mami, Obara, Taku, Takase, Kei
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Brain tumor Deep learning Genetic mutation Neural networks
Online-Zugang:	Volltext
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