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

Preoperative diagnosis of flum 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.