Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging.

Journal: BMC medical imaging
Published Date: Apr 8, 2022

Abstract

BACKGROUND: This study aims to propose the combinations of image processing and machine learning model to segment the maturity development of the mandibular premolars using a Keras-based deep learning convolutional neural networks (DCNN) model.

Authors

  • Norhasmira Mohammad
    Center for Oral and Maxillofacial Diagnostics and Medicine Studies, Faculty of Dentistry, Universiti Teknologi MARA, Sungai Buloh Campus, 47000, Sungai Buloh, Selangor, Malaysia.
  • Anuar Mikdad Muad
    Center for Integrated Systems Engineering and Advanced Technologies (INTEGRA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600, Bangi, Selangor, Malaysia.
  • Rohana Ahmad
    Center for Restorative Dentistry Studies, Faculty of Dentistry, Universiti Teknologi MARA, Sungai Buloh Campus, 47000, Sungai Buloh, Selangor, Malaysia.
  • Mohd Yusmiaidil Putera Mohd Yusof
    Center for Oral and Maxillofacial Diagnostics and Medicine Studies, Faculty of Dentistry, Universiti Teknologi MARA, Sungai Buloh Campus, 47000, Sungai Buloh, Selangor, Malaysia. yusmiaidil@uitm.edu.my.

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