Convolutional neural network-based magnetic resonance image differentiation of filum terminale ependymomas from schwannomas

Abstract Purpose Preoperative diagnosis of filum terminale ependymomas (FTEs) versus schwannomas is difficult but essential for surgical planning and prognostic assessment. With the advancement of deep-learning approaches based on convolutional neural networks (CNNs), the aim of this study was to de...

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Bibliografiske detaljer

Principais autores:	Zhaowen Gu, Wenli Dai, Jiarui Chen, Qixuan Jiang, Weiwei Lin, Qiangwei Wang, Jingyin Chen, Chi Gu, Jia Li, Guangyu Ying, Yongjian Zhu
Format:	Artigo
Sprog:	Inglês
Udgivet:	BMC 2024-03-01
Serier:	BMC Cancer
Fag:	Convolutional neural networks Filum terminale ependymoma Schwannoma Contrast-enhanced magnetic resonance imaging
Online adgang:	https://doi.org/10.1186/s12885-024-12023-0
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