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Application of Deep Convolutional Neural Networks in the Diagnosis of Osteoporosis

The aim of this study was to assess the possibility of using deep convolutional neural networks (DCNNs) to develop an effective method for diagnosing osteoporosis based on CT images of the spine. The research material included the CT images of L1 spongy tissue belonging to 100 patients (50 healthy a...

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Detalles Bibliográficos
Autores principales: Dzierżak, Róża, Omiotek, Zbigniew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655338/
https://www.ncbi.nlm.nih.gov/pubmed/36365886
http://dx.doi.org/10.3390/s22218189

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