Parotid Gland

Research on the parotid gland, a major salivary gland, is heavily focused on improving the accuracy and efficiency of tumor segmentation in medical images, primarily using MRI. Current efforts leverage advanced deep learning architectures, such as transformers and convolutional neural networks (including variations like Swin-Unet and nnUNet), often incorporating multimodal image data and contrastive learning techniques to enhance segmentation performance. These advancements are crucial for improving the diagnosis and treatment planning of parotid gland tumors, ultimately leading to better patient outcomes. The development of robust and adaptable segmentation models is a key area of ongoing investigation.