Odontogenic cysts and tumors detection in panoramic radiographs using Deep Convolutional Neural Network(DCNN)

Tae-Hoon Yong, Sang-Jeong Lee, Won-Jin Yi

Keywords: Object Detection, Region Proposal Networks, Dental panoramic images

Abstract: Diseases that require surgery, such as cysts or tumors that occur in the oral maxillofacial region, are often missed or misdiagnosed despite the importance of early detection. Computer-assisted diagnostics using a deep convolution neural network (DCNN), a machine learning technology based on artifcial neural networks, can provide more accurate and faster results. In this study, we will investigate a method for automatically detecting fve diseases that frequently occur in the oral maxillofacial region using DCNN in panoramic radiographs.

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