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The Novel Coronavirus disease 2019 (COVID-19) is a fatal infectious disease, first recognized in December 2019 in Wuhan, Hubei, China, and has gone on an epidemic situation. Under these circumstances, it became more important to detect…

图像与视频处理 · 电气工程与系统科学 2022-06-20 Pramit Dutta , Tanny Roy , Nafisa Anjum

Confronting the pandemic of COVID-19, is nowadays one of the most prominent challenges of the human species. A key factor in slowing down the virus propagation is the rapid diagnosis and isolation of infected patients. The standard method…

图像与视频处理 · 电气工程与系统科学 2021-04-27 Eduardo Luz , Pedro Lopes Silva , Rodrigo Silva , Ludmila Silva , Gladston Moreira , David Menotti

The world is currently experiencing an ongoing pandemic of an infectious disease named coronavirus disease 2019 (i.e., COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Computed Tomography (CT)…

图像与视频处理 · 电气工程与系统科学 2021-12-10 Qinghao Ye , Yuan Gao , Weiping Ding , Zhangming Niu , Chengjia Wang , Yinghui Jiang , Minhao Wang , Evandro Fei Fang , Wade Menpes-Smith , Jun Xia , Guang Yang

The early and reliable detection of COVID-19 infected patients is essential to prevent and limit its outbreak. The PCR tests for COVID-19 detection are not available in many countries and also there are genuine concerns about their…

We introduce a comprehensive screening platform for the COVID-19 (a.k.a., SARS-CoV-2) pneumonia. The proposed AI-based system works on chest x-ray (CXR) images to predict whether a patient is infected with the COVID-19 disease. Although the…

The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid…

图像与视频处理 · 电气工程与系统科学 2025-06-10 Md. Alamin Talukder , Md. Abu Layek , Mohsin Kazi , Md Ashraf Uddin , Sunil Aryal

In this paper, we have trained several deep convolutional networks with introduced training techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID-19, based on two open-source datasets. Our data contains…

图像与视频处理 · 电气工程与系统科学 2021-05-05 Mohammad Rahimzadeh , Abolfazl Attar

The emergence of COVID-19 has severely compromised the arsenal of antiviral and antibiotic drugs. Drug discovery is a multistep process with a high failure rate, high cost and it takes approximately 10-12 years for the development of new…

生物大分子 · 定量生物学 2020-04-15 Atanu Barik , Geeta Rai , Gyan Modi

With the periodic rise and fall of COVID-19 and numerous countries being affected by its ramifications, there has been a tremendous amount of work that has been done by scientists, researchers, and doctors all over the world. Prompt…

机器学习 · 计算机科学 2021-12-17 Ismail Shahin , Ali Bou Nassif , Mohamed Bader Alsabek

COVID-19 is a devastating respiratory and inflammatory illness caused by a new coronavirus that is rapidly spreading throughout the human population. Over the past 6 months, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the…

The world has witnessed unprecedented human and economic loss from the COVID-19 disease, caused by the novel coronavirus SARS-CoV-2. Extensive research is being conducted across the globe to identify therapeutic agents against the…

In recent times, the use of chest Computed Tomography (CT) images for detecting coronavirus infections has gained significant attention, owing to their ability to reveal bilateral changes in affected individuals. However, classifying…

图像与视频处理 · 电气工程与系统科学 2023-10-27 Amir Ali

Knowledge graph (KG) is used to represent data in terms of entities and structural relations between the entities. This representation can be used to solve complex problems such as recommendation systems and question answering. In this…

人工智能 · 计算机科学 2022-12-09 Ajay Kumar Gogineni

Background: This paper provides a systematic review of the application of Artificial Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in fighting against the effects of novel coronavirus disease…

图像与视频处理 · 电气工程与系统科学 2021-10-29 M. Rubaiyat Hossain Mondal , Subrato Bharati , Prajoy Podder

Despite the great efforts to find an effective way for COVID-19 prediction, the virus nature and mutation represent a critical challenge to diagnose the covered cases. However, developing a model to predict COVID-19 via Chest X-Ray (CXR)…

图像与视频处理 · 电气工程与系统科学 2022-03-14 Essam H. Houssein , Zainab Abohashima , Mohamed Elhoseny , Waleed M. Mohamed

Since February 2020, the world has been engaged in an intense struggle with the COVID-19 dis-ease, and health systems have come under tragic pressure as the disease turned into a pandemic. The aim of this study is to obtain the most…

机器学习 · 计算机科学 2022-06-30 Mehmet Tahir Huyut , Andrei Velichko

Coronavirus Disease of 2019 (COVID-19) created dire consequences globally and triggered an intense scientific effort from different domains. The resulting publications created a huge text collection in which finding the studies related to a…

信息检索 · 计算机科学 2020-10-14 Abdullatif Köksal , Hilal Dönmez , Rıza Özçelik , Elif Ozkirimli , Arzucan Özgür

AI plays an important role in COVID-19 identification. Computer vision and deep learning techniques can assist in determining COVID-19 infection with Chest X-ray Images. However, for the protection and respect of the privacy of patients,…

图像与视频处理 · 电气工程与系统科学 2020-07-14 Boyi Liu , Bingjie Yan , Yize Zhou , Yifan Yang , Yixian Zhang

Deep learning technology can be used as an assistive technology to help doctors quickly and accurately identify COVID-19 infections. Recently, Vision Transformer (ViT) has shown great potential towards image classification due to its global…

图像与视频处理 · 电气工程与系统科学 2022-07-06 Hongyan Xu , Xiu Su , Dadong Wang

The outbreak of novel coronavirus disease 2019 (COVID-19) has already infected millions of people and is still rapidly spreading all over the globe. Most COVID-19 patients suffer from lung infection, so one important diagnostic method is to…

图像与视频处理 · 电气工程与系统科学 2020-05-05 Yifan Zhang , Shuaicheng Niu , Zhen Qiu , Ying Wei , Peilin Zhao , Jianhua Yao , Junzhou Huang , Qingyao Wu , Mingkui Tan