基于胸部x线和ct扫描图像的COVID-19检测深度学习技术:简要回顾和未来展望

Maad M. Mijwil, Karan Aggarwal, Ruchi Doshi, K. Hiran, B. Sundaravadivazhagan
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引用次数: 13

摘要

今天,人类生活在基于人工智能的电子设备快速增长的时代,包括执行智能人类任务以解决复杂情况的机器制造的显着增长。人工智能将显著影响许多领域的发展,特别是医疗领域,该领域在诊断疾病数据和制造药物和疫苗方面严重依赖人工智能技术。人工智能在帮助医生和医护人员挽救许多生命方面取得了意想不到的进展,特别是在COVID-19病毒传播期间。本文综述了一些应用深度学习技术基于胸部x光片和ct扫描图像检测COVID-19的文献。本文的结论是,深度学习技术在诊断大图像数据集和协助专家确定一个人是否被感染(阳性病例)方面具有基础和重要的作用。
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 COVID-19 Detection Based on Chest X-ray and CT-scan Images: A Short Review and Future Perspective
Today, humans live in the era of rapid growth in electronic devices that are based on artificial intelligence, including the significant growth in the manufacture of machines that perform intelligent human tasks to solve complex situations. Artificial intelligence will significantly influence the development of many domains, especially the medical domain, which relies heavily on artificial intelligence techniques in diagnosing disease data and manufacturing drugs and vaccines. Artificial intelligence has unexpectedly advanced in helping physicians and healthcare workers save many lives, especially during the spread of the COVID-19 virus. This article reviews some literature that have applied deep learning techniques to detect COVID-19 based on chest x-rays and CT-scans images. This article concluded that deep learning techniques have a fundamental and significant role in diagnosing a big dataset of images and assisting specialists in determining whether a person is infected (positive cases).  
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