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. 2021 Jun 23;11:632104. doi: 10.3389/fonc.2021.632104

Figure 1.

Figure 1

The workflow of our proposed deep-learning framework for the differentiation of benign from malignant parotid lesions. The first part shows multimodal MR images and tumor segmentation. The second part shows the preprocessing stage for the MR images. The third part shows the training network prediction model and tumor type classification. The final part comprehensively shows that predictions are made for all slices to determine the tumor type.