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Transfer Learning for an Automated Detection System of Fractures in Patients with Maxillofacial Trauma
2021
Applied Sciences
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 (CT) scans to produce a model for the classification of future CTs as either "fracture" or "noFracture". The model was trained on a total of 148 CTs (120 patients labeled with "fracture" and 28
doi:10.3390/app11146293
fatcat:rsltvrwwtjc6fl7m2ieq6iczay