Evaluation of artificial intelligence for detecting periapical pathosis on cone-beam computed tomography scans


Orhan K., Bayrakdar I. S. , Ezhov M., Kravtsov A., ÖZYÜREK T.

INTERNATIONAL ENDODONTIC JOURNAL, cilt.53, ss.680-689, 2020 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 53 Konu: 5
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1111/iej.13265
  • Dergi Adı: INTERNATIONAL ENDODONTIC JOURNAL
  • Sayfa Sayıları: ss.680-689

Özet

Aim To verify the diagnostic performance of an artificial intelligence system based on the deep convolutional neural network method to detect periapical pathosis on cone-beam computed tomography (CBCT) images.