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20212024
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cs.CV2024

SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis

Zijian Cai, Xinquan Yang, Xuguang Li +5

Panoramic X-ray is a simple and effective tool for diagnosing dental diseases in clinical practice. When deep learning models are developed to assist dentist in interpreting panora…

cs.CV2023

SCPMan: Shape Context and Prior Constrained Multi-scale Attention Network for Pancreatic Segmentation

Leilei Zeng, Xuechen Li, Xinquan Yang +2

Due to the poor prognosis of Pancreatic cancer, accurate early detection and segmentation are critical for improving treatment outcomes. However, pancreatic segmentation is challen…

cs.CV2023

TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction

Xinquan Yang, Jinheng Xie, Xuechen Li +3

In implant prosthesis treatment, the surgical guide of implant is used to ensure accurate implantation. However, such design heavily relies on the manual location of the implant po…

cs.CV2023

TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction

Xinquan Yang, Jinheng Xie, Xuguang Li +4

When deep neural network has been proposed to assist the dentist in designing the location of dental implant, most of them are targeting simple cases where only one missing tooth i…

cs.CV2023

Two-Stream Regression Network for Dental Implant Position Prediction

Xinquan Yang, Xuguang Li, Xuechen Li +4

In implant prosthesis treatment, the design of the surgical guide heavily relies on the manual location of the implant position, which is subjective and prone to doctor's experienc…