GPU加速深度学习神经网络在x射线扫描COVID-19识别中的应用

M. Nikolov, G. Tsenov, O. Nakov, Milena Lazarova, V. Mladenov
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引用次数: 0

摘要

在本文中,我们介绍了一个旨在检测和诊断COVID感染的独立专家系统的创建和培训结果,该系统基于X射线成像X射线的自动读数,确定患者是否患有COVID肺炎。该系统采用深度学习神经网络实现,并利用GPU代替CPU进行加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of GPU Accelerated Deep Learning Neural Networks for COVID-19 Recognition from X-Ray Scans
In this paper we are presenting the results of creation and training of a stand-alone expert system aimed at detection and diagnosis of COVID infection, that is based on automatic readings of X-ray imaging X Ray, which determines whether the patient has COVID pneumonia. The system is realized with deep learning neural networks and is accelerated with GPU utilized, instead of CPU.
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