Multiclass Segmentation Using Teeth Attention Modules for Dental X-Ray Images
Afnan Ghafoor,
Seong-Yong Moon,
Bumshik Lee
Abstract:This paper proposed a cutting-edge multiclass teeth segmentation architecture that integrates an M-Net-like structure with Swin Transformers and a novel component named Teeth Attention Block (TAB). Existing teeth image segmentation methods have issues with less accurate and unreliable segmentation outcomes due to the complex and varying morphology of teeth, although teeth segmentation in dental panoramic images is essential for dental disease diagnosis. We propose a novel teeth segmentation model incorporating… Show more
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