Segmentation and classification of skin burn images with artificial intelligence: Development of a mobile application.

Journal: Burns : journal of the International Society for Burn Injuries
Published Date: Jan 15, 2024

Abstract

AIM: This study was conducted to determine the segmentation, classification, object detection, and accuracy of skin burn images using artificial intelligence and a mobile application. With this study, individuals were able to determine the degree of burns and see how to intervene through the mobile application.

Authors

  • Metin Yıldız
    Department of Nursing, Sakarya University, Sakarya, Turkey. Electronic address: metinyildiz@sakarya.edu.tr.
  • Yakup Sarpdağı
    Department of Nursing Van Yuzuncu Yil University, Turkey.
  • Mehmet Okuyar
    Sakarya University of Applied Sciences Biomedical Engineering, Sakarya, Turkey.
  • Mehmet Yildiz
    Sakarya University of Applied Sciences, Distance Education Research and Application Center, Sakarya, Turkey.
  • Necmettin Çiftci
    Muş Alparslan University, Faculty of Health Sciences, Department of Nursing, 49100 Muş, Turkey.
  • Ayşe Elkoca
    Gaziantep Islamic University of Science and Technology Faculty of Health Sciences, Midwifery, Turkey.
  • Mehmet Salih Yildirim
    Vocational School of Health Services, Agri Ibrahim Cecen University School of Health, Agri, Turkey.
  • Muhammet Ali Aydin
    Department of Nursing, Ataturk University, Erzurum, Turkey.
  • Mehmet Parlak
    Ataturk University, Department of Nursing, Erzurum, Turkey.
  • Bünyamin Bingöl
    Sakarya University, Electrical and Electronics Engineering, Sakarya, Turkey.

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