Computer-aided diagnosis of periapical cyst and keratocystic odontogenic tumor on cone beam computed tomography

Yilmaz E., Kayikcioglu T., Kayipmaz S.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, cilt.146, ss.91-100, 2017 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 146
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1016/j.cmpb.2017.05.012
  • Dergi Adı: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.91-100
  • Anahtar Kelimeler: Computer aided diagnosis, Dental apical lesion, Classifier, Cone beam computed tomography, Periapical cyst and keratocystic odontogenic, tumor, Volumetric textural features, Dental image dataset, NONINVASIVE DIFFERENTIAL-DIAGNOSIS, LESIONS, CLASSIFICATION, SEGMENTATION, FREQUENCY
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Background and objectives: In this article, we propose a decision support system for effective classification of dental periapical cyst and keratocystic odontogenic tumor (KCOT) lesions obtained via cone beam computed tomography (CBCT). CBCT has been effectively used in recent years for diagnosing dental pathologies and determining their boundaries and content. Unlike other imaging techniques, CBCT provides detailed and distinctive information about the pathologies by enabling a three-dimensional (3D) image of the region to be displayed.