Algorithm for Determination of Thresholds of Significant Coherence in Time-Frequency Analysis [0.03%]
时间频率分析中显著相干门限的确定算法
Giles Blaney,Angelo Sassaroli,Sergio Fantini
Giles Blaney
A quantitative assessment of the level of coherence between two signals is important in many applications. Two biomedically relevant cases are Transfer Function Analysis (TFA) of Cerebral Autoregulation (CA) and Coherent Hemodynamics Spectr...
Identification of characteristics frequency and hot-spots in protein sequence of COVID-19 disease [0.03%]
识别COVID-19疾病蛋白序列的特征频率和热点区域
Vikas Pathak,Satyasai Jagannath Nanda,Amit Mahesh Joshi et al.
Vikas Pathak et al.
COVID-19 has threatened the whole world since December 2019 and has also infected millions of people around the globe. It has been transmitted through the SARS CoV-2 virus. Various proteins of the SARS CoV-2 virus have an important role in ...
A fast lightweight network for the discrimination of COVID-19 and pulmonary diseases [0.03%]
一种快速轻量级的COVID-19及其肺部疾病鉴别网络
Oussama Aiadi,Belal Khaldi
Oussama Aiadi
With the outbreak of COVID-19 and the increasing number of infections worldwide, there has been a noticeable deficiency in healthcare provided by medical professionals. To cope with this situation, computational methods can be used in diffe...
CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images [0.03%]
CoviXNet：一种使用胸部X光片检测COVID-19的新型高效深度学习模型
Gaurav Srivastava,Aninditaa Chauhan,Mahesh Jangid et al.
Gaurav Srivastava et al.
The Coronavirus (COVID-19) pandemic has created havoc on humanity by causing millions of deaths and adverse physical and mental health effects. To prepare humankind for the fast and efficient detection of the virus and its variants shortly,...
CXGNet: A tri-phase chest X-ray image classification for COVID-19 diagnosis using deep CNN with enhanced grey-wolf optimizer [0.03%]
用于COVID-19诊断的深度CNN结合增强灰狼优化器的胸部X光图像三阶段分类法
Anandbabu Gopatoti,P Vijayalakshmi
Anandbabu Gopatoti
The coronavirus disease 2019 (COVID-19) epidemic had a significant impact on daily life in many nations and global public health. COVID's quick spread has become one of the biggest disruptive calamities in the world. In the fight against CO...
A novel method using Covid-19 dataset and machine learning algorithms FOR THE MOST ACCURATE DIAGNOSIS that can be obtained in medical diagnosis [0.03%]
一种使用Covid-19数据集和机器学习算法进行最准确诊断的新方法
Emre Avuçlu
Emre Avuçlu
Pandemics and many other diseases threaten human life, health and quality of life by affecting many aspects. For this reason, the medical diagnosis to be applied for any disease is important in terms of the most accurate determination by th...
LHSPred: A web based application for predicting lung health severity [0.03%]
LHSPred：一个基于网络的预测肺健康严重程度的应用程序
Sudipto Bhattacharjee,Banani Saha,Parthasarathi Bhattacharyya et al.
Sudipto Bhattacharjee et al.
Background and objectives: The computed tomography (CT) scan facilities are crucial for diagnosis of pulmonary diseases and are overburdened during the current pandemic of novel coronavirus disease 2019 (COVID-19). LHSPre...
Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion [0.03%]
基于DenseNet和VGG16特征融合的COVID-19 X射线图像分类与检测
Lingzhi Kong,Jinyong Cheng
Lingzhi Kong
Since December 2019, the novel coronavirus disease (COVID-19) caused by the syndrome coronavirus 2 (SARS-CoV-2) strain has spread widely around the world and has become a serious global public health problem. For this high-speed infectious ...
CrodenseNet: An efficient parallel cross DenseNet for COVID-19 infection detection [0.03%]
一种高效的并行交叉DenseNet用于新型冠状病毒感染检测
Jingdong Yang,Lei Zhang,Xinjun Tang
Jingdong Yang
Purpose At present, though the application of Convolution Neural Network (CNN) to detect COVID-19 infection significantly enhance the detection performance and efficiency, it often causes low sensitivity and poor generalization performance....
Hongbin Zhang,Weinan Liang,Chuanxiu Li et al.
Hongbin Zhang et al.
COVID-19 is a form of disease triggered by a new strain of coronavirus. Automatic COVID-19 recognition using computer-aided methods is beneficial for speeding up diagnosis efficiency. Current researches usually focus on a deeper or wider ne...