A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study.

Journal: Journal of stomatology, oral and maxillofacial surgery
PMID: 35964938

Abstract

INTRODUCTION: Deep learning methods have recently been applied for the processing of medical images, and they have shown promise in a variety of applications. This study aimed to develop a deep learning approach for identifying oral lichen planus lesions using photographic images.

Authors

  • Gaye Keser
    Department of Oral Diagnosis and Radiology, Faculty of Dentistry, Marmara University, Başıbüyük Sağlık Yerleşkesi Başıbüyük Yolu 9/3, 34854, Maltepe, Istanbul, Turkey. gayekeser@hotmail.com.
  • İbrahim Şevki Bayrakdar
    Department of Oral Diagnosis and Radiology, Faculty of Dentistry, Eskişehir Osmangazi University, Eskişehir, Turkey.
  • Filiz Namdar Pekiner
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Department of Oral Diagnosis, Marmara University, Başıbüyük Sağlık Yerleşkesi Başıbüyük Yolu 9/3 34854 Maltepe, İstanbul, Turkey.
  • Özer Çelik
    Department of Mathematics and Computer, Faculty of Science and Letters, Eskişehir Osmangazi University, Eskişehir, Turkey.
  • Kaan Orhan
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Dentomaxillofacial Radiologist, Ankara University, Ankara, Turkey.

Keywords

External Resources

Popular Topics
Recent Journals