X-ray image classification using Deep Learning method for Covid-19 diagnostic

Samira Achki, A. Gourari, Layla Aziz
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引用次数: 1

Abstract

Recently, the World Health Organization (WHO) was identified Coronavirus COVID 19 as a worldwide epidemic, usage the techniques for early diagnosis of disease gives fast and correct results, the machine Learning considered the current state-of-the-art image classification technique as a new research subject in an extensive variety of academic and industrial IT, particularly in healthcare. The Deep learning classification revolution is reshaping modern healthcare systems by integrating technological. This paper presents an integrated Deep learning using Dataset of X-ray image for classification of COVID-19, In order to have an early diagnosis, nursing patients, and practicing distinct protocols after patient recovery.
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基于深度学习方法的新冠肺炎诊断x射线图像分类
最近,世界卫生组织(WHO)将冠状病毒COVID - 19确定为全球流行病,使用该技术进行疾病的早期诊断给出了快速和正确的结果,机器学习将当前最先进的图像分类技术视为广泛的各种学术和工业IT,特别是医疗保健领域的新研究课题。深度学习分类革命正在通过整合技术重塑现代医疗保健系统。本文提出了一种基于x射线图像数据集的集成深度学习方法,用于COVID-19的分类,以便早期诊断,护理患者,并在患者康复后实施不同的方案。
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