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In this study, the performance of machine learning in classifying parotid gland tumors based on diffusion‐related features obtained from the parotid gland tumor, the peritumor parotid gland, and the contralateral parotid gland was evaluated. Seventy‐eight patients participated in this study and underwent magnetic resonance diffusion‐weighted imaging. Three regions of interest, including the parotid...
Various MRI sequences have shown their potential to discriminate parotid gland tumors, including but not limited to T2‐weighted, postcontrast T1‐weighted, and diffusion‐weighted images. In this study, we present a fully automatic system for the diagnosis of parotid gland tumors by using deep learning methods trained on multimodal MRI images. We used a two‐dimensional convolution neural network, U‐Net,...
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