Convolutional neural network-based magnetic resonance image differentiation of filum terminale ependymomas from schwannomas
Zhaowen Gu,
Wenli Dai,
Jiarui Chen
et al.
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 determine whether CNN-based interpretation of magnetic resonance (MR) images of these two tumours could be achieved.
Methods
Contrast-enhanced MRI data from 50 pat… Show more
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