Review on Automatic Covid-19 Detection from Chest CT Images using Artificial Intelligence

Dhanshri B Mali, S. A. Patil
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引用次数: 0

Abstract

The corona virus is one of the widespread diseases affected globally. The corona virus was first found in Wuhan, China in December 2019. The disease caused by the corona virus is named Covid-19. Covid-19 can be diagnosed by laboratory testing and chest radiography method. Due to limitations of laboratory testing methods like RT-PCR (Reverse Transcript polymerase Chain Reaction) for Covid-19 detection, medical image-based techniques have been proposed by various researchers. In this paper, various papers were reviewed that used machine learning and deep learning methods from Chest X-rays and chest CT for Covid-19 diagnosis. The overall performance of these methods is measured in terms of accuracy, sensitivity, specificity, and F1 score.
基于人工智能的胸部CT图像自动检测新冠肺炎研究进展
冠状病毒是影响全球的广泛疾病之一。冠状病毒于2019年12月首次在中国武汉被发现。由冠状病毒引起的疾病被命名为Covid-19。Covid-19可通过实验室检查和胸部x线摄影方法诊断。由于RT-PCR(逆转录聚合酶链反应)等实验室检测方法的局限性,各种研究人员提出了基于医学图像的技术。本文回顾了利用胸部x光片和胸部CT的机器学习和深度学习方法进行Covid-19诊断的各种论文。这些方法的总体性能是根据准确性、敏感性、特异性和F1评分来衡量的。
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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