Using fused Contourlet transform and neural features to spot COVID19 infections in CT scan images [0.03%]
基于融合Contourlet变换和神经特征的COVID-19感染CT图像检测方法
Nur A-Alam,Md Saikat Islam Khan,Mostofa Kamal Nasir
Nur A-Alam
The World Health Organization (WHO) claims that COVID19 is the pandemic disease of the 22nd century. The COVID19 disease is caused by a strain of coronavirus that led to the infection and death of millions of people and continues to do so u...
Multi-modal image classification of COVID-19 cases using computed tomography and X-rays scans [0.03%]
基于CT和X光片的新冠肺炎多模态图像分类
Nida Nasir,Afreen Kansal,Feras Barneih et al.
Nida Nasir et al.
COVID pandemic across the world and the emergence of new variants have intensified the need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode multi-modal approach is presented to detect a covid patient. Th...
Fighting for a future free from violence: A framework for real-time detection of "Signal for Help" [0.03%]
争取一个免于暴力的未来：“求救信号”实时检测框架
Sarah Azimi,Corrado De Sio,Francesco Carlucci et al.
Sarah Azimi et al.
In April 2020, by the start of isolation all around the world to counter the spread of COVID-19, an increase in violence against women and kids has been observed such that it has been named The Shadow Pandemic. To fight against this phenome...
Charu Agarwal,Pranjul Itondia,Anurag Mishra
Charu Agarwal
The Coronavirus disease (2019) has caused massive destruction of human lives and capital around the world. The latest variant Omicron is proved to be the most infectious of all its previous counterparts - Alpha, Beta and Delta. Various meas...
Mask usage recognition using vision transformer with transfer learning and data augmentation [0.03%]
基于视觉变换器的迁移学习和数据增强的口罩使用识别模型
Hensel D Jahja,Novanto Yudistira,Sutrisno
Hensel D Jahja
The COVID-19 pandemic has disrupted various levels of society. The use of masks is essential in preventing the spread of COVID-19 by identifying an image of a person using a mask. Although only 23.1% of people use masks correctly, Artificia...
Detection of arrhythmia using weightage-based supervised learning system for COVID-19 [0.03%]
基于权重的监督学习系统在新冠肺炎心律失常检测中的应用
Yashodhan Ketkar,Sushopti Gawade
Yashodhan Ketkar
COVID-19 disease has became a global pandemic in the last few years. This disease was highly contagious, and it quickly spread throughout several countries. Its infection can lead to severe implications for its victims, including cardiovasc...
Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture [0.03%]
基于CNN架构的深度学习方法识别新冠患者的胸部X光图像研究
Partho Ghose,Md Ashraf Uddin,Uzzal Kumar Acharjee et al.
Partho Ghose et al.
In recent years, coronavirus (Covid-19) has evolved into one of the world's leading life-threatening severe viral illnesses. A self-executing accord system might be a better option to stop Covid-19 from spreading due to its quick diagnostic...
Dana I Abu-Abdoun,Sameh Al-Shihabi
Dana I Abu-Abdoun
The prediction of new COVID-19 cases is crucial for decision makers in many countries. Researchers are continually proposing new models to forecast the future tendencies of this pandemic, among which long short-term memory (LSTM) artificial...
A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs [0.03%]
一种使用胸部X光片进行准确COVID-19检测的多模态骨抑制、肺分割和分类方法
Geeta Rani,Ankit Misra,Vijaypal Singh Dhaka et al.
Geeta Rani et al.
The high transmission rate of COVID-19 and the lack of quick, robust, and intelligent systems for its detection have become a point of concern for the public, Government, and health experts worldwide. The study of radiological images is one...
OWAE-Net: COVID-19 detection from ECG images using deep learning and optimized weighted average ensemble technique [0.03%]
基于深度学习和优化加权平均集成技术的ECG图像COVID-19检测方法 OWAE-Net
Kunwar Prashant,Prakash Choudhary,Tarun Agrawal et al.
Kunwar Prashant et al.
COVID-19 is an infectious disease that has cost millions of lives all over the world. A faster and safer diagnosis of COVID-19 is highly desirable in order to stop its spread. An electrocardiogram (ECG) signal-based diagnosis has shown its ...