Intergrated Segmentation and Detection Models for Dentex Challenge 2023

• URL: http://arxiv.org/abs/2308.14161v2
• Date: Mon, 4 Sep 2023 03:11:36 GMT
• Title: Intergrated Segmentation and Detection Models for Dentex Challenge 2023
• Authors: Lanshan He, Yusheng Liu, Lisheng Wang
• Abstract summary: 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.
• Score: 2.1025078609239403
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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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