Periodontal Disease Classification with Color Teeth Images Using Convolutional Neural Networks

• DOI: 10.3390/electronics12071518
• Publication Date: 2023-03-24T06:34:54Z
• Authors: Saron Park; Habibilloh Erkinov; Md. Al Mehedi Hasan; Seoul-Hee Nam; Yu-Rin Kim; Jungpil Shin; Won-Du Chang
• Keywords: RGB color model; Identification

Oral health plays an important role in people’s quality of life as it is related to eating, talking, and smiling. In recent years, many studies have utilized artificial intelligence for oral care. Many been published on tooth identification or recognition dental diseases using X-ray images, but with RGB images are rarely found. this paper, we propose a deep convolutional neural network (CNN) model that classifies teeth periodontal from optical color captured front the mouth. A novel module one-dimensional convolutions parallel was proposed compared conventional models including ResNet152. results, achieved 11.45% higher than ResNet152 model, proved structure enhanced training performances, especially when amount data insufficient. This paper shows possibility utilizing detection diseases, which may lead mobile healthcare system future.