Intergrated Segmentation and Detection Models for Dentex Challenge 2023

Lanshan He, Yusheng Liu, Lisheng Wang
8/27/2023
cs.CVcs.AI

Official code: xyzlancehe/DentexSegAndDet (32 stars, last commit 2024-09-14).

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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Code Implementations(1)

xyzlancehe/DentexSegAndDetOfficial100%
3214C++, CudaAug 19, 20232 years ago

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Cite this paper

@article{he2023intergrated,
  title  = {Intergrated Segmentation and Detection Models for Dentex Challenge 2023},
  author = {Lanshan He and Yusheng Liu and Lisheng Wang},
  year   = {2023},
  eprint = {2308.14161},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2308.14161v2}
}

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