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大韓小兒齒科學會誌 = Journal of the Korean academy of pediatric dentistry, v.49 no.2, 2022년, pp.131 - 139
김현태 (서울대학교 치의학대학원 소아치과학교실) , 송지수 (서울대학교 치의학대학원 소아치과학교실) , 신터전 (서울대학교 치의학대학원 소아치과학교실) , 현홍근 (서울대학교 치의학대학원 소아치과학교실) , 김정욱 (서울대학교 치의학대학원 소아치과학교실) , 장기택 (서울대학교 치의학대학원 소아치과학교실) , 김영재 (서울대학교 치의학대학원 소아치과학교실)
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This study aimed to evaluate the effectiveness of deep convolutional neural networks (CNNs) for diagnosis of interproximal caries in pediatric intraoral radiographs. A total of 500 intraoral radiographic images of first and second primary molars were used for the study. A CNN model (Resnet 50) was a...
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