Grading diffuse glioma based on 2021 WHO grade using self-attention-base deep learning architecture: variable Vision Transformer (vViT)

Grading diffuse glioma based on 2021 WHO grade using self-attention-base deep learning architecture: variable Vision Transformer (vViT)

To evaluate the diagnostic performance of the self-attention-based model, termed variable Vision Transformer (vViT), in the task of predicting the grade of diffuse glioma based on the 2021 World Health Organization (WHO) central nervous system (CNS) tumor classification. This cross-sectional study a...

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Bibliographic Details
Main Authors: Takuma Usuzaki, Kengo Takahashi, Ryusei Inamori, Yohei Morishita, Hidenobu Takagi, Takashi Shizukuishi, Yoshitaka Toyama, Mirei Abe, Mami Ishikuro, Taku Obara, Kazuhiro Majima, Kei Takase
Format: Artigo
Language:English
Published: 2024
Online Access:https://doi.org/10.1016/j.bspc.2024.106001
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https://doi.org/10.1016/j.bspc.2024.106001

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