Transfer Learning via Deep Neural Networks for Implant Fixture System Classification Using Periapical Radiographs
In the absence of accurate medical records, it is critical to correctly classify implant fixture systems using periapical radiographs to provide accurate diagnoses and treatments to patients or to respond to complications. The purpose of this study was to evaluate whether deep neural networks can id...
|Main Authors:||, , , , ,|
|Series:||Journal of Clinical Medicine|