TongueTransUNet: Toward Effective Tongue Contour Segmentation Using Small Dataset
Khalid Al-hammuri,
Fayez Gebali,
Awos Kanan
Abstract:Medical image segmentation is important for extracting desired objects among complex human structures to enable further analysis. In the case of lingual ultrasound, it is important to extract tongue contour to understand the language behaviour, which enables lingual ultrasound to act as a biofeedback. In order to segment tongue from ultrasound images, we need to train the deep-learning model on a large dataset, which made it challenging to generalize it using a wide variety of images as it is difficult to coll… Show more
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