The field of dentistry is in the era of digital transformation. Particularly,
artificial intelligence is anticipated to play a significant role in digital
dentistry. AI holds the potential to significantly assist dental practitioners
and elevate diagnostic accuracy. In alignment with this vision, the 2023 MICCAI
DENTEX challenge aims to enhance the performance of dental panoramic X-ray
diagnosis and enumeration through technological advancement. In response, we
introduce DETDet, a Dual Ensemble Teeth Detection network. DETDet encompasses
two distinct modules dedicated to enumeration and diagnosis. Leveraging the
advantages of teeth mask data, we employ Mask-RCNN for the enumeration module.
For the diagnosis module, we adopt an ensemble model comprising DiffusionDet
and DINO. To further enhance precision scores, we integrate a complementary
module to harness the potential of unlabeled data. The code for our approach
will be made accessible at this https URL

在数字化牙科领域，人工智能有望在数字牙科中发挥重要作用，尤其是在牙科全景 X 射线诊断和计数方面。为了提高这方面的性能，我们引入了 DETDet，一个双重集成的牙齿检测网络，它包含了用于计数和诊断的两个不同的模块，并采用了一种包括 DiffusionDet 和 DINO 的集成模型以及一个用于利用未标记数据潜力的补充模块。