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Brain Tumor IDH, 1p/19q, and MGMT Molecular Classification Using MRI-based Deep Learning: Effect of Motion and Motion Correction

2020-06-02

Abstract excerpt

Deep learning has shown promise for predicting glioma molecular profiles using MR images. Before clinical implementation, ensuring robustness to real-world problems, such as patient motion, is crucial. We sought to evaluate the effects of motion artifact on glioma marker classifier performance and develop a deep learning motion correction network to restore classification accuracies. T2w images and molecular infor...

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Literature Corpus work
84d8182d-fb25-5baf-8526-84cc1dabf4dd
DOI
10.1101/2020.06.01.126375
Open publication

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Brain Tumor IDH, 1p/19q, and MGMT Molecular Classification Using MRI-based Deep Learning: Effect of Motion and Motion CorrectionDOI 10.1101/2020.06.01.126375
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