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KMID : 0829220210450020059
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Korean Journal of Oral and Maxillofacial Pathology
2021 Volume.45 No. 2 p.59 ~ p.65
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Sensitive Area of Artificial Intelligence in Interpreting Osteoporosis on Panoramic Radiograph
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Lee Sang-Ah
Park Byung-Ju
Kim Hyong-Suk
Shyam Adhikari
Lee Eun-Joo
Lee Jae-Seo
Kang Byung-Cheol
Yoon Suk-Ja
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Abstract
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Artificial intelligence, has been applied in interpreting osteoporosis on dental panoramic radiograph with high accuracy. The purpose of this study was to investigate the sensitive area of convolutional neural network(CNN), one of artificial intelligence, in interpreting osteoporosis on dental panoramic radiograph. Dental panoramic radiographs taken from 1,170 female (49.19 ±21.91 average age, 21 minimum age, and 84 maximum age) were selected for this study. Two oral maxillofacial radiologists agreed upon interpreting osteoporosis by interpreting mandibular inferior cortical changes. The region of interest included upper and lower jaws for training and testing CNN in interpreting osteoporosis. A filter which was set to look for image characteristics moved through the entire panoramic radiography to identify sensitive areas that distinguish normal groups and osteoporosis patients. In interpreting osteoporosis on panoramic radiograph, CNN responded sensitively at the cancellous bone of the upper and lower jaws while oral maxillofacial radiologists interpreted mandibular inferior cortical change.
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KEYWORD
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Panoramic radiograph, Neural network, Osteoporosis, Mandible
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