A deep learning approach to detection of oral cancer lesions from intra oral patient images: A preliminary retrospective study.

Journal: Journal of stomatology, oral and maxillofacial surgery
PMID: 39043293

Abstract

INTRODUCTION: Oral squamous cell carcinomas (OSCC) seen in the oral cavity are a category of diseases for which dentists may diagnose and even cure. This study evaluated the performance of diagnostic computer software developed to detect oral cancer lesions in intra-oral retrospective patient 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.
  • 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.
  • İbrahim Şevki Bayrakdar
    Department of Oral Diagnosis and Radiology, Faculty of Dentistry, Eskişehir Osmangazi University, Eskişehir, 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.

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