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光学技术、计算机断层扫描和深度学习在 COVID-19 大流行诊断中的作用,旨在提高弱势群体的生存率。

Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations.

机构信息

Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, 45650, Pakistan.

Agri & Biophotonics Division, National Institute of Lasers and Optronics College, Pakistan Institute of Engineering and Applied Sciences (PIEAS), 45650, Islamabad, Pakistan.

出版信息

Photodiagnosis Photodyn Ther. 2020 Sep;31:101880. doi: 10.1016/j.pdpdt.2020.101880. Epub 2020 Jun 17.

Abstract

• Severe lung complications can be explored using computed tomography during COVID-19 pandemic. • Ultra-low dose CT can enhance COVID-19 infected patients diagnostic capability. • Optically monitored CT along with deep learning is the best solution for diagnosis of COVID-19 during pandemic. • CT scans sensitivity (88 %) is preferable on clinical approach sensitivity (59 %) for COVID-19 suspected patients. • CT and Computer aided approaches helps the radiologist to make fast and accurate diagnosis during COVID-19 pandemic.

摘要

• 在 COVID-19 大流行期间,可以使用计算机断层扫描来探索严重的肺部并发症。

• 超低剂量 CT 可以提高 COVID-19 感染患者的诊断能力。

• 光学监测 CT 结合深度学习是大流行期间 COVID-19 诊断的最佳解决方案。

• 对于 COVID-19 疑似患者,CT 扫描的敏感性(88%)优于临床方法的敏感性(59%)。

• CT 和计算机辅助方法有助于放射科医生在 COVID-19 大流行期间快速准确地做出诊断。

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