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KMID : 0829220190430040103
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Korean Journal of Oral and Maxillofacial Pathology
2019 Volume.43 No. 4 p.103 ~ p.109
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Differences in Osteoporosis Readings on Dental Panoramic Radiographs according to Convolutional Neural Network Test Data
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Lim Ya-Gob
Lee Eun-Joo
Lee Jae-Seo
Kang Byung-Cheol
Shyam Adhikari
Kim Hyong-Suk
Yoon Suk-Ja
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Abstract
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This study was conducted as part of a series of studies to introduce the Convolutional Neural Network(CNN) into the diagnostic eld of osteoporosis. The purpose of this study was to compare the results when testing Digital Radiography(DR) and Computed adiography(CR) panoramic radiographs by CNN that were trained by DR panoramic radiographs. The digital panoramic radiographs f females who visited for the purpose of diagnosis and treatment at Chonnam National University Dental Hospital were taken. Two Oral and Maxillofacial Radiologists were selected for the study to compare the panoramic radiographs with normal and osteoporosis mages. Among them, 1068 panoramic radiographs of females{Mean [± standard deviation] age: 49.19 ± 21.91 years} obtained by DR method were used for training of CNN. 200 panoramic radiographs of females{Mean [± standard deviation] age: 63.95 ± 6.45 years} btained by DR method and 202 panoramic radiographs of females{Mean [± standard deviation] age: 62.00 ± 6.86 years} obtained by R method were used for testing of CNN. When the DR panoramic radiographs were tested, the Accuracy was 92.5%. When the CR anoramic radiographs were tested, the Accuracy was 76.2%. It can be seen that the CNN trained by DR panoramic radiographs is uitable to be tested with the same DR panoramic radiographs.
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KEYWORD
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CNN, Osteoporosis, DR panoramic radiographs, CR panoramic radiographs
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