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...

Whakaahuatanga katoa

Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Antonio Lo Casto, Giacomo Spartivento, Viviana Benfante, Riccardo Di Raimondo, Muhammad Ali, Domenico Di Raimondo, Antonino Tuttolomondo, Alessandro Stefano, Anthony Yezzi, Albert Comelli
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2023-06-01
Rangatū:	Life
Ngā marau:	contact relationship convolutional neural network inferior alveolar nerve mandibular third molar panoramic radiograph ResNet-152
Urunga tuihono:	https://www.mdpi.com/2075-1729/13/7/1441
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!