Parotid Gland MRI Segmentation Based on Swin-Unet and Multimodal Images. (arXiv:2206.03336v1 [eess.IV])

Parotid gland tumors account for approximately 2% to 10% of head and neck
tumors. Preoperative tumor localization, differential diagnosis, and subsequent
selection of appropriate treatment for parotid gland tumors is critical.
However, the relative rarity of these tumors and the highly dispersed tissue
types have left an unmet need for a subtle differential diagnosis of such
neoplastic lesions based on preoperative radiomics. Recently, deep learning
methods have developed rapidly, especially Transformer beats the traditional
convolutional neural network in computer vision. …

arxiv images multimodal segmentation swin unet