Automatic Dental Plaque Segmentation Based on Local-to-Global Features Fused Self-Attention Network

Author:

Li Shuai1ORCID,Guo Yuting1ORCID,Pang Zhennan1ORCID,Song Wenfeng2ORCID,Hao Aimin1,Xia Bin3,Qin Hong4ORCID

Affiliation:

1. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China

2. Computer School, Beijing Information Science and Technology University, Beijing, China

3. Department of Pediatric Dentistry, Peking University School and Hospital of Stomatology, Beijing, China

4. Department of Computer Science, Stony Brook University, Stony Brook, NY, USA

Funder

Research Unit of Virtual Human and Virtual Surgery

Chinese Academy of Medical Sciences

Beijing Advanced Innovation Center for Biomedical Engineering

Beijing Natural Science Foundation

Haidian Primitive Innovation

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

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1. Digital Transformation in Preventive Dentistry;Advances in Medical Technologies and Clinical Practice;2024-08-30

2. State-of-art technologies, challenges, and emerging trends of computer vision in dental images;Computers in Biology and Medicine;2024-08

3. DeepPlaq: Dental Plaque Indexing based on Deep Neural Networks;2024-07-18

4. Segment-Specific Layer Detection Using Oral Radiology Image for Gingivitis Diagnosis;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

5. An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation;IEEE Transactions on Medical Imaging;2024-02

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