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Assessing Automated Machine Learning service to detect COVID-19 from X-Ray and CT images: A Real-time Smartphone Application case study

机译：评估自动化机器学习服务以检测来自X射线和CT图像的Covid-19：实时智能手机应用案例研究

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Mohammad Razib Mustafiz; Khaled Mohsin;
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1. EMCNet: Automated COVID-19 diagnosis from X-ray images using convolutional neural network and ensemble of machine learning classifiers [J] . Prottoy Saha, Muhammad Sheikh Sadi, Md. Milon Islam Informatics in Medicine Unlocked . 2021,第a期

机译：EMCNet：使用卷积神经网络的X射线图像自动Covid-19诊断，并使用机器学习分类器的集合
2. Real-time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm [J] . Hu Tianqing, Khishe Mohammad, Mohammadi Mokhtar, Biomedical signal processing and control . 2021,第Pta2期

机译：利用深CNN和极端学习机通过黑猩猩优化算法稳定的X射线图像实时Covid-19诊断
3. An automated and fast system to identify COVID-19 from X-ray radiograph of the chest using image processing and machine learning [J] . Khan Murtaza Ali International journal of imaging systems and technology . 2021,第2期

机译：自动化和快速系统，使用图像处理和机器学习从胸部的X射线射线照片识别Covid-19
4. Application of Deep Learning model (DeepCOVID-19) for detecting COVID-19 cases using chest X-ray images [C] . Cuong Do, Lan Vu Conference on Applications of Machine Learning . 2020

机译：深度学习模型（DeepCovid-19）在胸X射线图像检测Covid-19案例的应用
5. Application of Statistical and Machine Learning Techniques to Detect Rare Events in High Frequency Financial Data And Assess Corporate Credit Rating [D] . Golbayani, Parisa . 2019

机译：统计和机器学习技术在高频财务数据中检测稀有事件及评估企业信用评级
6. Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review [O] . Hossein Mohammad-Rahimi, Mohadeseh Nadimi, Azadeh Ghalyanchi-Langeroudi, 2021

机译：机器学习在Covid-19通过X射线和CT图像诊断中的应用：一个范围评论
7. Assessing Automated Machine Learning service to detect COVID-19 from X-Ray and CT images: A Real-time Smartphone Application case study [O] . Mohammad Razib Mustafiz, Khaled Mohsin 2020

机译：评估自动化机器学习服务以检测来自X射线和CT图像的Covid-19：实时智能手机应用案例研究

Assessing Automated Machine Learning service to detect COVID-19 from X-Ray and CT images: A Real-time Smartphone Application case study

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