利用胸片实时检测covid - 19和肺炎的深度学习技术

A. Panwar, Rishika Yadav, Kishor Mishra, Siddharth Gupta
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引用次数: 26

摘要

这种新发现的病毒也被称为冠状病毒,它会传播covid - 19。世界卫生组织(WHO)确认,这种病毒已经感染了数百万人,并在全球范围内夺走了许多人的生命。新冠肺炎引起的感染主要是破坏人类的呼吸道,最严重的情况下会导致多器官衰竭或死亡。在本研究中,我们将胸片作为各种深度学习CNN架构的输入,用于特征提取。提取特征后,将图像作为输入提供给各种机器学习分类器,这些分类器将胸片分类为Covid-19阳性,肺炎感染或健康扫描。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep Learning Techniques for the Real Time Detection of Covid19 and Pneumonia using Chest Radiographs
The newly detected virus also called coronavirus spreads the disease Covid19. World Health Organization (WHO) confirmed this virus as a worldwide pandemic as it has infected millions of people and has taken away many lives across the globe. An infection caused by Covid19 disease majorly destroys the respiratory tract of human beings that ends with multiple organ failures or death in the worst case. In the present work, chest radiographs were provided as input to various deep learning CNN architectures for the purpose of feature extraction. After extracting the features, the images were provided as the input to various machine learning classifiers that classify the chest radiographs as Covid-19 positive, pneumonia infection, or healthy scans.
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