Artificial Intelligence for Classifying the Relationship between Impacted Third Molar and Mandibular Canal on Panoramic Radiographs

The purpose of this investigation was to evaluate the diagnostic performance of two convolutional neural networks (CNNs), namely ResNet-152 and VGG-19, in analyzing, on panoramic images, the rapport that exists between the lower third molar (MM3) and the mandibular canal (MC), and to compare this pe...

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Bibliografski detalji

Glavni autori:	Antonio Lo Casto, Giacomo Spartivento, Viviana Benfante, Riccardo Di Raimondo, Muhammad Ali, Domenico Di Raimondo, Antonino Tuttolomondo, Alessandro Stefano, Anthony Yezzi, Albert Comelli
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-06-01
Serija:	Life
Teme:	contact relationship convolutional neural network inferior alveolar nerve mandibular third molar panoramic radiograph ResNet-152
Online pristup:	https://www.mdpi.com/2075-1729/13/7/1441
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