Inferior Alveolar Canal Automatic Detection with Deep Learning CNNs on CBCTs: Development of a Novel Model and Release of Open-Source Dataset and Algorithm

Inferior Alveolar Canal Automatic Detection with Deep Learning CNNs on CBCTs: Development of a Novel Model and Release of Open-Source Dataset and Algorithm

Introduction: The need of accurate three-dimensional data of anatomical structures is increasing in the surgical field. The development of convolutional neural networks (CNNs) has been helping to fill this gap by trying to provide efficient tools to clinicians. Nonetheless, the lack of a fully acces...

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Bibliografische gegevens
Hoofdauteurs: Mattia Di Bartolomeo, Arrigo Pellacani, Federico Bolelli, Marco Cipriano, Luca Lumetti, Sara Negrello, Stefano Allegretti, Paolo Minafra, Federico Pollastri, Riccardo Nocini, Giacomo Colletti, Luigi Chiarini, Costantino Grana, Alexandre Anesi
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2023-03-01
Reeks:Applied Sciences
Onderwerpen:
inferior alveolar
mandibular
canal
deep learning
3D
cone beam computed tomography (CBCT)
Online toegang:https://www.mdpi.com/2076-3417/13/5/3271

Internet

https://www.mdpi.com/2076-3417/13/5/3271

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