A Novel Deep Learning Algorithm for the Automatic Detection of High-Grade Gliomas on T2-Weighted Magnetic Resonance Images: A Preliminary Machine Learning Study
To propose a convolutional neural network (CNN) for the automatic detection of high-grade gliomas (HGGs) on T2-weighted magnetic resonance imaging (MRI) scans. A total of 3580 images obtained from 179 individuals were used for training and validation. After random rotation and vertical flip, trainin...
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Veröffentlicht in: | Turkish neurosurgery 2020, Vol.30 (2), p.199-205 |
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Sprache: | eng |
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