Transfer Learning for an Automated Detection System of Fractures in Patients with Maxillofacial Trauma

Transfer Learning for an Automated Detection System of Fractures in Patients with Maxillofacial Trauma

An original maxillofacial fracture detection system (MFDS), based on convolutional neural networks and transfer learning, is proposed to detect traumatic fractures in patients. A convolutional neural network pre-trained on non-medical images was re-trained and fine-tuned using computed tomography (C...

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Bibliographic Details
Main Authors: Maria Amodeo, Vincenzo Abbate, Pasquale Arpaia, Renato Cuocolo, Giovanni Dell’Aversana Orabona, Monica Murero, Marco Parvis, Roberto Prevete, Lorenzo Ugga
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
convolutional neural network
transfer learning
maxillofacial fractures
computed tomography images
radiography
Online Access:https://www.mdpi.com/2076-3417/11/14/6293

Internet

https://www.mdpi.com/2076-3417/11/14/6293

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