Intergrated Segmentation and Detection Models for Dentex Challenge 2023
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Abstract (arXiv)
Dental panoramic x-rays are commonly used in dental diagnosing. With the development of deep learning, auto detection of diseases from dental panoramic x-rays can help dentists to diagnose diseases more efficiently.The Dentex Challenge 2023 is a competition for automatic detection of abnormal teeth along with their enumeration ids from dental panoramic x-rays. In this paper, we propose a method integrating segmentation and detection models to detect abnormal teeth as well as obtain their enumeration ids.Our codes are available at https://github.com/xyzlancehe/DentexSegAndDet.
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References · 10
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- 2020End-to-End Object Detection with Transformerscited by 7,384
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- 2022DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detectioncited by 1,306
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- 2023Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rayscited by 18
- 2023DENTEX: Dental Enumeration and Tooth Pathosis Detection Benchmark for Panoramic X-raycited by 12
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