Abstract #1246

Detection of malignant parotid gland tumors using multi-modality MRI and deep learning: diffusion versus T1 contrast-enhanced imaging

Yi-Ju Chang¹, Chun-Jung Juan², Yi-Jui Liu³, and Teng-Yi Huang¹

¹National Taiwan University of Science and Technology, Taipei, Taiwan, ²Chinese Medical University Hsinchu Hospital, Hsinchu, Taiwan, ³Feng Chia University, Taichung, Taiwan

The study presents an automatic recognition method for parotid gland tumor. We used a convolution neural network to conduct the segmentation of parotid gland tumor and classifications of tumor types. We also designed eight combinations of various MRI contrasts to compare the results of recognition for parotid gland tumor. We compared results obtained using various combinations of MR images as the input of the convolutional neural network and found that diffusion-related parameters and contrast-enhanced T1 images played the primary role of the prediction accuracy.

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