A novel deep learning-based approach for segmentation of different type caries lesions on panoramic radiographs

HIGHLIGHTS

• who: Burak Dayu0131 et al. from the Department of Restorative Dentistry, Faculty of Dentistry, Inonu University, Malatya, Turkey have published the article: A Novel Deep Learning-Based Approach for Segmentation of Different Type Caries Lesions on Panoramic Radiographs, in the Journal: Diagnostics 2023, 202 of /2023/
• what: The study aims to evaluate the diagnostic performance of an artificial intelligence system based deep learning for the segmentation of occlusal proximal and cervical radiographs. This study proposes Dental Detection Network (DCDNet) architecture for dental segmentation. In this direction, the Dental Caries Detection Network (DCDNet) architecture was developed . . .
  

   

  

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