Proximal femur fracture detection on plain radiography via feature pyramid networks
İlkay Yıldız Potter,
Diana Yeritsyan,
Sarah Mahar
et al.
Abstract:Hip fractures exceed 250,000 cases annually in the United States, with the worldwide incidence projected to increase by 240–310% by 2050. Hip fractures are predominantly diagnosed by radiologist review of radiographs. In this study, we developed a deep learning model by extending the VarifocalNet Feature Pyramid Network (FPN) for detection and localization of proximal femur fractures from plain radiography with clinically relevant metrics. We used a dataset of 823 hip radiographs of 150 subjects with proximal … Show more
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