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Deep Fusion Feature Extraction for Caries Detection on Dental Panoramic Radiographs
Caries is the most well-known disease and relates to the oral health of billions of people around the world. Despite the importance and necessity of a well-designed detection method, studies in caries detection are still limited and show a restriction in performance. In this paper, we proposed a computer-aided diagnosis (CAD) method to detect caries among normal patients using dental radiographs. The proposed method mainly consists of two processes: feature extraction and classification. In thedoi:10.3390/app11052005 fatcat:i5bznpchong4rn7v7rkgqxe7ga