Ezgi Sonkaya Akburak

Differentiation of cervical caries and cervical burnout on orthopantomographic images: a radiomics-based machine learning approach

To evaluate the diagnostic performance of machine learning (ML) algorithms based on radiomic features extracted from orthopantomographic (OPG) images in differentiating cervical caries from cervical burnout. A total of 170 OPG images were retrospectively analyzed, including 85 ce...