Comparison of deep learning methods for the radiographic detection of patients with different periodontitis stages

CONCLUSIONS: The new DenseNet121 + GAP + mRMR-based support vector machine model developed in this study achieved higher performance in periodontal bone loss classification compared to other models in the literature by detecting effective features from raw images without the need for manual selection.PMID:38214940 | DOI:10.1093/dmfr/twad003

Source: Dentomaxillofacial Radiology - January 12, 2024 Category: Radiology Authors: Berceste Guler Ayyildiz Rukiye Karakis Busra Terzioglu Durmus Ozdemir Source Type: research