Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm-Reference-Cited by-同舟云学术

Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm

Published:2018 Issue:2 Volume:48 Page:114
ISSN:2093-2278
Container-title:Journal of Periodontal & Implant Science
language:en
Short-container-title:J Periodontal Implant Sci

Author:

Lee Jae-Hong¹^ORCID,Kim Do-hyung¹^ORCID,Jeong Seong-Nyum¹^ORCID,Choi Seong-Ho²^ORCID

Affiliation:

1. Department of Periodontology, Daejeon Dental Hospital, Institute of Wonkwang Dental Research, Wonkwang University College of Dentistry, Daejeon, Korea.

2. Department of Periodontology, Research Institute for Periodontal Regeneration, Yonsei University College of Dentistry, Seoul, Korea.

Funder

National Research Foundation of Korea

Publisher

Korean Academy of Periodontology

Subject

Periodontics,Oral Surgery

Link

https://synapse.koreamed.org/pdf/10.5051/jpis.2018.48.2.114

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