Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network.

Journal: Dento maxillo facial radiology
Published Date: Dec 1, 2020

Abstract

OBJECTIVES: The purpose of this study was to automatically diagnose odontogenic cysts and tumors of both jaws on panoramic radiographs using deep learning. We proposed a novel framework of deep convolution neural network (CNN) with data augmentation for detection and classification of the multiple diseases.

Authors

  • Odeuk Kwon
    Department of Oral and Maxillofacial Radiology, School of Dentistry, Seoul National University, Seoul, South Korea.
  • Tae-Hoon Yong
    Department of Biomedical Radiation Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea.
  • Se-Ryong Kang
    Department of Biomedical Radiation Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea.
  • Jo-Eun Kim
    Department of Oral and Maxillofacial Radiology, Seoul National University Dental Hospital, Seoul, Korea.
  • Kyung-Hoe Huh
    4 Department of Oral and Maxillofacial Radiology, School of Dentistry, Seoul National University, Seoul, Korea.
  • Min-Suk Heo
    4 Department of Oral and Maxillofacial Radiology, School of Dentistry, Seoul National University, Seoul, Korea.
  • Sam-Sun Lee
    Department of Oral and Maxillofacial Radiology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul, Korea.
  • Soon-Chul Choi
    Department of Oral and Maxillofacial Radiology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul, Korea.
  • Won-Jin Yi
    Department of Oral and Maxillofacial Radiology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul, Korea. wjyi@snu.ac.kr.

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