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Deep Learning Techniques for the Real Time Detection of Covid19 and Pneumonia using Chest Radiographs

机译:利用胸片实时检测新冠肺炎和新冠肺炎的深度学习技术

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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.
机译:新检测到的病毒也被称为冠状病毒,传播新冠病毒。世界卫生组织(WHO)确认这种病毒是一种世界性的大流行,因为它已经感染了数百万人,并夺走了全球许多人的生命。由新冠病毒引起的感染主要破坏人类的呼吸道,最糟糕的情况是导致多器官衰竭或死亡。在目前的工作中,胸片被提供作为各种深度学习CNN结构的输入,用于特征提取。在提取2019冠状病毒疾病后,将图像作为输入,将不同的机器学习分类器分类为胸部图像,如COVID-19阳性、肺炎感染或健康扫描。

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