A novel fusion based convolutional neural network approach for classification of COVID-19 from chest X-ray images [0.03%]
一种基于卷积神经网络的融合方法用于从胸部X光图像中分类COVID-19
Anubhav Sharma,Karamjeet Singh,Deepika Koundal
Anubhav Sharma
Coronavirus disease is a viral infection caused by a novel coronavirus (CoV) which was first identified in the city of Wuhan, China somewhere in the early December 2019. It affects the human respiratory system by causing respiratory infecti...
Asymptomatic COVID-19 CT image denoising method based on wavelet transform combined with improved PSO [0.03%]
基于改进PSO与小波变换结合的新冠肺炎无症状患者CT图像去噪方法
Guowei Wang,Shuli Guo,Lina Han et al.
Guowei Wang et al.
The quality of asymptomatic corona virus disease 2019 (COVID-19) computed tomography (CT) image is reduced due to interference from Gaussian noise, which affects the subsequent image processing. Aiming at the problem that asymptomatic COVID...
Audio texture analysis of COVID-19 cough, breath, and speech sounds [0.03%]
基于COVID-19咳嗽、呼吸和说话声音的音频纹理分析
Garima Sharma,Karthikeyan Umapathy,Sri Krishnan
Garima Sharma
The coronavirus disease (COVID-19) first appeared at the end of December 2019 and is still spreading in most countries. To diagnose COVID-19 using reverse transcription - Polymerase chain reaction (RT-PCR), one has to go to a dedicated cent...
Deep feature fusion classification network (DFFCNet): Towards accurate diagnosis of COVID-19 using chest X-rays images [0.03%]
基于胸部X光图像的新型冠状病毒肺炎准确诊断的深度特征融合分类网络(DFFCNet)
Jingyao Liu,Wanchun Sun,Xuehua Zhao et al.
Jingyao Liu et al.
The widespread of highly infectious disease, i.e., COVID-19, raises serious concerns regarding public health, and poses significant threats to the economy and society. In this study, an efficient method based on deep learning, deep feature ...
Khelili Mohamed Akram,Slatnia Sihem,Kazar Okba et al.
Khelili Mohamed Akram et al.
Limitations of available literature: Nowadays, coronavirus disease 2019 (COVID-19) is the world-wide pandemic due to its mutation over time. Several works done for covid-19 detection using different techniques however, th...
Effectiveness evaluation of different feature extraction methods for classification of covid-19 from computed tomography images: A high accuracy classification study [0.03%]
基于CT图像的新冠肺炎分类的不同特征提取方法的有效性评估：一种高精度分类研究
Farid Al-Areqi,Mehmet Zeki Konyar
Farid Al-Areqi
Rapid diagnosis of the Covid-19 disease is the best way to prevent infection. In this paper, it is proposed to use machine learning methods to aid diagnoses quickly Covid-19 and focused on effect of several features on classification accura...
Heart rate prediction from facial video with masks using eye location and corrected by convolutional neural networks [0.03%]
基于卷积神经网络的口罩人脸视频心率预测方法（利用眼信息校正）
Kun Zheng,Kangyi Ci,Hui Li et al.
Kun Zheng et al.
Remote photoplethysmography (rPPG), which aims at measuring heart activities without any contact, has great potential in many applications. The emergence of novel coronavirus pneumonia COVID-19 has attracted worldwide attentions. Contact ph...
Deep multi-view feature learning for detecting COVID-19 based on chest X-ray images [0.03%]
基于胸部X光图像的COVID-19深度多视角特征学习检测方法
Hamidreza Hosseinzadeh
Hamidreza Hosseinzadeh
Aim: COVID-19 is a pandemic infectious disease which has influenced the life and health of many communities since December 2019. Due to the rapid worldwide spread of this highly contagious disease, making its early detect...
COVID-19 CT image denoising algorithm based on adaptive threshold and optimized weighted median filter [0.03%]
基于自适应阈值和优化加权中值滤波器的covid-19 ct图像去噪算法
Shuli Guo,Guowei Wang,Lina Han et al.
Shuli Guo et al.
CT image of COVID-19 is disturbed by impulse noise during transmission and acquisition. Aiming at the problem that the early lesions of COVID-19 are not obvious and the density is low, which is easy to confuse with noise. A median filtering...
Automated lung ultrasound scoring for evaluation of coronavirus disease 2019 pneumonia using two-stage cascaded deep learning model [0.03%]
基于两阶段级联深度学习模型的自动化肺超声评分评估新型冠状病毒肺炎
Wenyu Xing,Chao He,Jiawei Li et al.
Wenyu Xing et al.
Coronavirus disease 2019 (COVID-19) pneumonia has erupted worldwide, causing massive population deaths and huge economic losses. In clinic, lung ultrasound (LUS) plays an important role in the auxiliary diagnosis of COVID-19 pneumonia. Howe...