medical deep learning

Accuracy of deep learning-based AI models for early caries lesion detection: the influence of annotation quality and reference choice

Objectives The objective of this study is to assess how different annotation methods used during AI model training affect the accuracy of early caries lesion detection, and how the choice of the evaluation reference standard leads to significant …

Microtomography to traditional dental radiograph: Projecting 3D initial proximal caries lesion annotations for enhanced radiographic delineation

Objectives: This study was undertaken to generate high-quality radiographic annotations of initial proximal carious lesions based on micro-CT scans. Specifically, we projected manually and automatically acquired annotations of micro-CT scans onto …