卷积神经网络在支气管肺系统疾病分类中的应用

2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2018-04-01 DOI:10.1109/ELNANO.2018.8477483

V. Vaityshyn, M. Chekhovych, A. Poreva

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引用次数: 3

摘要

本研究建议使用卷积神经网络对支气管肺系统疾病进行分类，将肺部声音视为一种称为频谱图的图像。对图像进行分析并得到一组参数，就有可能训练并得到一定的分类器。随后，使用这种方法可以帮助肺科医生做出正确的诊断。

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Convolutional Neural Networks for the Classification of Bronchopulmonary System Diseases with the Use of Lung Sounds

This study suggests the use of convolutional neural networks for the classification of bronchopulmonary system diseases, by considering the lung sounds as an image that called spectrogram. Analyzing images and getting a set of parameters, there is the possibility of training and getting certain classifiers. Subsequently, the use of this method can help pulmonologist make a correct diagnosis.

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2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)

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