Application of Deep Convolutional Neural Networks in the Diagnosis of Osteoporosis

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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Bibliographic Details
Main Authors:	Róża Dzierżak, Zbigniew Omiotek
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Sensors
Subjects:	osteoporosis convolutional neural networks deep learning VGG16 image classification neural networks
Online Access:	https://www.mdpi.com/1424-8220/22/21/8189

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