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합성곱신경망 테스트 자료에 따른 파노라마 방사선 사진에서의 골다공증 판독의 차이

Differences in Osteoporosis Readings on Dental Panoramic Radiographs according to Convolutional Neural Network Test Data

대한구강악안면병리학회지 2019년 43권 4호 p.103 ~ 109
임야곱 ( Lim Ya-Gob ) - 전남대학교 치의학전문대학원

이은주 ( Lee Eun-Joo ) - 전남대학교 치의학전문대학원 구강해부학교실
이재서 ( Lee Jea-Seo ) - 전남대학교 치의학전문대학원 구강악안면방사선학교실
강병철 ( Kang Byung-Cheol ) - 전남대학교 치의학전문대학원 구강악안면방사선학교실
써얌 아디카리 ( Shyam Adhikari ) - 전북대학교 공과대학 전자공학부
김형석 ( Kim Hyong-Suk ) - 전북대학교 공과대학 전자공학부
윤숙자 ( Yoon Suk-Ja ) - 전남대학교 치의학전문대학원 구강악안면방사선학교실

Abstract


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.

키워드

CNN; Osteoporosis; DR panoramic radiographs; CR panoramic radiographs
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