Comparison between observer-based and AI-based reading of CBCT datasets: An interrater-reliability study

• Asıl Yazarlar: Dirk Schulze (Yazar), Lutz Häußermann (Yazar), Julian Ripper (Yazar), Thomas Sottong (Yazar)
• Materyal Türü: Kitap
• Baskı/Yayın Bilgisi: Elsevier, 2024-02-01T00:00:00Z.
• Konular: article
• Online Erişim: Connect to this object online.

Objective: To assess the performance of human observers and convolutional neural networks (CNNs) in detecting periodontal lesions in cone beam computed tomography (CBCT), a total of 38 datasets were examined. Three human readers and a CNN-based solution were employed to evaluate the presence of peri...