CNN based Covid-aid: Covid 19 Detection using Chest X-ray

Shrinjal Singh, Piyush Sapra, Aman Garg, D. Vishwakarma
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引用次数: 11

Abstract

Covid-19, an infectious disease that first originated from Wuhan, a city in China, during the month of December 2019, has taken a toll on the everyday lives of people around the world by affecting their mental and physical health. In addition to being detrimental to public health, it has also shaken the global economy. With the rapid spreading rate of this virus, one must find an effective and expeditious method to detect the disease. Radiology is one field of medical science that helps to diagnose patients carrying coronavirus symptoms. With inspiration and insight from various papers, this study aims to carry out the task of detecting the disease through radiography images of the human chest. Our deep learning model works on a publicly available dataset and uses the concepts of convolutional neural networks. Our model generated a classification accuracy of 87%.
CNN的covidaid:使用胸部x射线检测Covid- 19
2019年12月,新型冠状病毒病(Covid-19)首次发源于中国武汉,影响了人们的身心健康,给世界各地人们的日常生活造成了损失。除了对公众健康有害之外,它还动摇了全球经济。随着这种病毒的迅速传播,人们必须找到一种有效而迅速的方法来检测这种疾病。放射学是帮助诊断携带冠状病毒症状的患者的医学科学领域之一。在各种论文的启发和见解下,本研究旨在通过人体胸部x线摄影图像进行疾病检测。我们的深度学习模型在公开可用的数据集上工作,并使用卷积神经网络的概念。我们的模型产生了87%的分类准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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