A Discriminative Channel Diversification Network for Image Classification [0.03%]
一种 discriminative channel diversification网络的图像分类方法
Krushi Patel,Guanghui Wang
Krushi Patel
Channel attention mechanisms in convolutional neural networks have been proven to be effective in various computer vision tasks. However, the performance improvement comes with additional model complexity and computation cost. In this paper...
An infodemiological framework for tracking the spread of SARS-CoV-2 using integrated public data [0.03%]
基于集成公共数据追踪SARS-CoV-2传播的信息流行病学框架
Zhimin Liu,Zuodong Jiang,Geoffrey Kip et al.
Zhimin Liu et al.
The outbreak of the SARS-CoV-2 novel coronavirus has caused a health crisis of immeasurable magnitude. Signals from heterogeneous public data sources could serve as early predictors for infection waves of the pandemic, particularly in its e...
Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries [0.03%]
基于集成深度学习模型的新冠肺炎疫情期间印度和欧洲国家的推特情感分析
D Sunitha,Raj Kumar Patra,N V Babu et al.
D Sunitha et al.
As of November 2021, more than 24.80 crore people are diagnosed with the coronavirus in that around 50.20 lakhs people lost their lives, because of this infectious disease. By understanding the people's sentiment's expressed in their social...
Compressed feature vector-based effective object recognition model in detection of COVID-19 [0.03%]
基于压缩特征向量的COVID-19检测有效物体识别模型
Chao Chen,Jinhong Mao,Xinzhi Liu et al.
Chao Chen et al.
To better understand the structure of the COVID-19, and to improve the recognition speed, an effective recognition model based on compressed feature vector is proposed. Object recognition plays an important role in computer vison aera. To i...
Central hubs prediction for bio networks by directed hypergraph - GA with validation to COVID-19 PPI [0.03%]
基于有向超图-GA的生物网络中枢预测及其在COVID-19 PPI中的验证
Sathyanarayanan Gopalakrishnan,Supriya Sridharan,Soumya Ranjan Nayak et al.
Sathyanarayanan Gopalakrishnan et al.
Network structures have attracted much interest and have been rigorously studied in the past two decades. Researchers used many mathematical tools to represent these networks, and in recent days, hypergraphs play a vital role in this analys...
Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images [0.03%]
CycleGAN和迁移学习技术在使用X光图像自动检测COVID-19中的应用
Ghazal Bargshady,Xujuan Zhou,Prabal Datta Barua et al.
Ghazal Bargshady et al.
Coronavirus (which is also known as COVID-19) is severely impacting the wellness and lives of many across the globe. There are several methods currently to detect and monitor the progress of the disease such as radiological image from patie...
Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans [0.03%]
基于两阶段深度学习框架的胸部CT图像COVID-19与社区获得性肺炎鉴别模型研究
Mohamed Abdel-Basset,Hossam Hawash,Nour Moustafa et al.
Mohamed Abdel-Basset et al.
COVID-19 stay threatening the health infrastructure worldwide. Computed tomography (CT) was demonstrated as an informative tool for the recognition, quantification, and diagnosis of this kind of disease. It is urgent to design efficient dee...
A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study [0.03%]
使用计算机断诊测新型冠状病毒肺炎的实际人工智能系统的多国外部验证研究
Ali Abbasian Ardakani,Robert M Kwee,Mohammad Mirza-Aghazadeh-Attari et al.
Ali Abbasian Ardakani et al.
Computed tomography has gained an important role in the early diagnosis of COVID-19 pneumonia. However, the ever-increasing number of patients has overwhelmed radiology departments and has caused a reduction in quality of services. Artifici...
Unsupervised Deep Learning based Variational Autoencoder Model for COVID-19 Diagnosis and Classification [0.03%]
基于无监督深度学习变分自编码器模型的COVID-19诊断和分类
Romany F Mansour,José Escorcia-Gutierrez,Margarita Gamarra et al.
Romany F Mansour et al.
At present times, COVID-19 has become a global illness and infected people has increased exponentially and it is difficult to control due to the non-availability of large quantity of testing kits. Artificial intelligence (AI) techniques inc...
Deep transfer learning based classification model for covid-19 using chest CT-scans [0.03%]
用于COVID-19分类模型的深度迁移学习及胸部CT扫描应用
Ilyas Lahsaini,Mostafa El Habib Daho,Mohamed Amine Chikh
Ilyas Lahsaini
COVID-19 is an infectious and contagious virus. As of this writing, more than 160 million people have been infected since its emergence, including more than 125,000 in Algeria. In this work, We first collected a dataset of 4986 COVID and no...