Artificial intelligence in tongue diagnosis: classification of tongue lesions and normal tongue images using deep convolutional neural network.

Journal: BMC medical imaging
PMID: 38459518

Abstract

OBJECTIVE: This study aims to classify tongue lesion types using tongue images utilizing Deep Convolutional Neural Networks (DCNNs).

Authors

  • Burcu Tiryaki
    Department of Electrical Electronic Engineering, Faculty of Engineering, Ataturk University, Erzurum, Turkey.
  • Kubra Torenek-Agirman
    Department of Oral Diagnosis and Dentomaxillofacial Radiology, Faculty of Dentistry, Ataturk University, Erzurum, Turkey.
  • Ozkan Miloglu
    Department of Oral Diagnosis and Dentomaxillofacial Radiology, Faculty of Dentistry, Ataturk University, Erzurum, Turkey. omiloglu@hotmail.com.
  • Berfin Korkmaz
    Department of Oral Diagnosis and Dentomaxillofacial Radiology, Faculty of Dentistry, Ataturk University, Erzurum, Turkey.
  • İbrahim Yucel Ozbek
    Department of Electrical Electronic Engineering (High Performance Comp Applicat & Res Ctr), Ataturk University, Erzurum, Turkey.
  • Emin Argun Oral
    Department of Electrical Electronic Engineering, Faculty of Engineering, Ataturk University, Erzurum, Turkey.

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