Convolutional Neural Networks for Classifying Laterality of Vestibular Schwannomas on Single MRI Slices—A Feasibility Study

Convolutional Neural Networks for Classifying Laterality of Vestibular Schwannomas on Single MRI Slices—A Feasibility Study

<b>Introduction</b>: Many proposed algorithms for tumor detection rely on 2.5/3D convolutional neural networks (CNNs) and the input of segmentations for training. The purpose of this study is therefore to assess the performance of tumor detection on single MRI slices containing vestibula...

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Bibliographic Details
Main Authors: Philipp Sager, Lukas Näf, Erwin Vu, Tim Fischer, Paul M. Putora, Felix Ehret, Christoph Fürweger, Christina Schröder, Robert Förster, Daniel R. Zwahlen, Alexander Muacevic, Paul Windisch
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Diagnostics
Subjects:
artificial intelligence
deep learning
machine learning
vestibular
schwannoma
neuro-oncology
Online Access:https://www.mdpi.com/2075-4418/11/9/1676

Internet

https://www.mdpi.com/2075-4418/11/9/1676

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