Multiclass Segmentation Using Teeth Attention Modules for Dental X-Ray Images

Multiclass Segmentation Using Teeth Attention Modules for Dental X-Ray Images

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 o...

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Bibliographic Details
Main Authors: Afnan Ghafoor, Seong-Yong Moon, Bumshik Lee
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Swin transformer
teeth attention block
U-Net
tooth segmentation
Online Access:https://ieeexplore.ieee.org/document/10304263/

Internet

https://ieeexplore.ieee.org/document/10304263/

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