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Accurate segmentation of thyroid nodules on ultrasound images remains a challenging task in computer-aided diagnosis (CAD) mainly because of low contrast, speckle noise, and large inter-patient variability of nodule appearance. Here a new deep learning-based segmentation method has been developed on the SwinUNet architecture supported by spatial attention mechanisms to enhance feature discrimination and localization accuracy.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
