利用机器学习对双能x射线吸收测量图像进行分类

2021 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST) Pub Date : 2021-06-16 DOI:10.1109/ICEST52640.2021.9483559

N. Kirilov, E. Kirilova

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引用次数: 0

摘要

在本文中，我们研究了机器学习或卷积神经网络的能力，特别是训练来分类脊柱和髋关节的双能x射线吸收测量图像。为此，我们创建了能够区分健康骨骼图像和病理图像的模型。

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Classifying Dual-Energy X-ray Absorptiometry Images Using Machine Learning

In this paper we study the ability of machine learning or convolutional neural networks in particular to be trained to classify dual-energy x-ray absorptiometry images of the spine and hip. For this purpose we create models which could differentiate images with healthy bone from images with pathology.

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2021 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)

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