TY  - JOUR
AU  - Lo Casto, Antonio
AU  - Spartivento, Giacomo
AU  - Benfante, Viviana
AU  - Di Raimondo, Riccardo
AU  - Ali, Muhammad
AU  - DI Raimondo, Domenico
AU  - Tuttolomondo, Antonino
AU  - Stefano, Alessandro
AU  - Yezzi, Anthony
AU  - Comelli, Albert
AU  - Edet Ekpenyong, Andrew
PY  - 2023
DO  - 10.3390/life13071441
UR  - https://hdl.handle.net/20.500.14352/104962
T2  - Life
AB  - 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...
LA  - eng
M2  - 1441
PB  - MDPI
KW  - Contact relationship
KW  - Convolutional neural network
KW  - Inferior alveolar nerve
KW  - Mandibular third molar
KW  - Panoramic radiograph
KW  - ResNet-152
KW  - VGG-19
TI  - Artificial Intelligence for Classifying the Relationship between Impacted Third Molar and Mandibular Canal on Panoramic Radiographs
TY  - journal article
VL  - 13
ER  -