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Pneumonia, caused by bacteria and viruses, is a rapidly spreading viral infection with global implications. Prompt identification of infected individuals is crucial for containing its transmission. This study explores the potential of…

Image and Video Processing · Electrical Eng. & Systems 2023-08-22 M. S. Haque , M. S. Taluckder , S. B. Shawkat , M. A. Shahriyar , M. A. Sayed , C. Modak

As the COVID-19 pandemic continues to devastate globally, one promising field of research is machine learning-driven computer vision to streamline various parts of the COVID-19 clinical workflow. These machine learning methods are typically…

Image and Video Processing · Electrical Eng. & Systems 2021-09-15 Audrey G. Chung , Maya Pavlova , Hayden Gunraj , Naomi Terhljan , Alexander MacLean , Hossein Aboutalebi , Siddharth Surana , Andy Zhao , Saad Abbasi , Alexander Wong

Recently, researchers, specialists, and companies around the world are rolling out deep learning and image processing-based systems that can fastly process hundreds of X-Ray and computed tomography (CT) images to accelerate the diagnosis of…

Image and Video Processing · Electrical Eng. & Systems 2020-04-01 Khalid El Asnaoui , Youness Chawki , Ali Idri

The coronavirus disease, named COVID-19, has become the largest global public health crisis since it started in early 2020. CT imaging has been used as a complementary tool to assist early screening, especially for the rapid identification…

Image and Video Processing · Electrical Eng. & Systems 2020-05-11 Donglin Di , Feng Shi , Fuhua Yan , Liming Xia , Zhanhao Mo , Zhongxiang Ding , Fei Shan , Shengrui Li , Ying Wei , Ying Shao , Miaofei Han , Yaozong Gao , He Sui , Yue Gao , Dinggang Shen

Due to the lack of efficient mpox diagnostic technology, mpox cases continue to increase. Recently, the great potential of deep learning models in detecting mpox and non-mpox has been proven. However, existing models learn image…

Image and Video Processing · Electrical Eng. & Systems 2023-10-11 Yubiao Yue , Zhenzhang Li

We introduce a new dataset called Synthetic COVID-19 Chest X-ray Dataset for training machine learning models. The dataset consists of 21,295 synthetic COVID-19 chest X-ray images to be used for computer-aided diagnosis. These images,…

Image and Video Processing · Electrical Eng. & Systems 2021-06-21 Hasib Zunair , A. Ben Hamza

The Coronavirus was detected in Wuhan, China in late 2019 and then led to a pandemic with a rapid worldwide outbreak. The number of infected people has been swiftly increasing since then. Therefore, in this study, an attempt was made to…

Image and Video Processing · Electrical Eng. & Systems 2022-03-29 Mobina Ezzoddin , Hamid Nasiri , Morteza Dorrigiv

Background: The COVID-19 pandemic has overwhelmed healthcare systems, emphasizing the need for AI-driven tools to assist in rapid and accurate patient prognosis. Chest X-ray imaging is a widely available diagnostic tool, but existing…

Image and Video Processing · Electrical Eng. & Systems 2025-03-18 Alfred Simbun , Suresh Kumar

Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has spread rapidly since December 2019. Real-time reverse transcription polymerase chain reaction (rRT-PCR) and chest computed tomography (CT) imaging both play an…

Image and Video Processing · Electrical Eng. & Systems 2020-12-04 Yifan Jiang , Han Chen , Murray Loew , Hanseok Ko

The pervasive influence of misinformation has far-reaching and detrimental effects on both individuals and society. The COVID-19 pandemic has witnessed an alarming surge in the dissemination of medical misinformation. However, existing…

Social and Information Networks · Computer Science 2023-06-16 Yanshen Sun , Jianfeng He , Shuo Lei , Limeng Cui , Chang-Tien Lu

Since the emergence of COVID-19, deep learning models have been developed to identify COVID-19 from chest X-rays. With little to no direct access to hospital data, the AI community relies heavily on public data comprising numerous data…

Computer Vision and Pattern Recognition · Computer Science 2021-09-17 Rachael Harkness , Geoff Hall , Alejandro F Frangi , Nishant Ravikumar , Kieran Zucker

With the rapid development of COVID-19 into a global pandemic, there is an ever more urgent need for cheap, fast and reliable tools that can assist physicians in diagnosing COVID-19. Medical imaging such as CT can take a key role in…

Image and Video Processing · Electrical Eng. & Systems 2021-01-26 Jannis Born , Gabriel Brändle , Manuel Cossio , Marion Disdier , Julie Goulet , Jérémie Roulin , Nina Wiedemann

The COVID-19 pandemic underscored the importance of reliable, noninvasive diagnostic tools for robust public health interventions. In this work, we fused magnetic respiratory sensing technology (MRST) with machine learning (ML) to create a…

With the prevailing efforts to combat the coronavirus disease 2019 (COVID-19) pandemic, there are still uncertainties that are yet to be discovered about its spread, future impact, and resurgence. In this paper, we present a three-stage…

Machine Learning · Statistics 2024-06-19 Oluwaseun T. Ajayi , Yu Cheng

In the current COVID-19 pandemic situation, there is an urgent need to screen infected patients quickly and accurately. Using deep learning models trained on chest X-ray images can become an efficient method for screening COVID-19 patients…

Image and Video Processing · Electrical Eng. & Systems 2021-03-02 Shruti Jadon

The corona virus is already spread around the world in many countries, and it has taken many lives. Furthermore, the world health organization (WHO) has announced that COVID-19 has reached the global epidemic stage. Early and reliable…

Image and Video Processing · Electrical Eng. & Systems 2020-06-29 Abdolkarim Saeedi , Maryam Saeedi , Arash Maghsoudi

Pandemic outbreaks such as COVID-19 occur unexpectedly, and need immediate action due to their potential devastating consequences on global health. Point-of-care routine assessments such as electrocardiogram (ECG), can be used to develop…

Signal Processing · Electrical Eng. & Systems 2023-01-12 Weijie Sun , Sunil Vasu Kalmady , Nariman Sepehrvand , Luan Manh Chu , Zihan Wang , Amir Salimi , Abram Hindle , Russell Greiner , Padma Kaul

As manipulating images by copy-move, splicing and/or inpainting may lead to misinterpretation of the visual content, detecting these sorts of manipulations is crucial for media forensics. Given the variety of possible attacks on the…

Computer Vision and Pattern Recognition · Computer Science 2022-06-07 Chengbo Dong , Xinru Chen , Ruohan Hu , Juan Cao , Xirong Li

The astounding success made by artificial intelligence (AI) in healthcare and other fields proves that AI can achieve human-like performance. However, success always comes with challenges. Deep learning algorithms are data-dependent and…

Image and Video Processing · Electrical Eng. & Systems 2021-06-25 Johann Li , Guangming Zhu , Cong Hua , Mingtao Feng , BasheerBennamoun , Ping Li , Xiaoyuan Lu , Juan Song , Peiyi Shen , Xu Xu , Lin Mei , Liang Zhang , Syed Afaq Ali Shah , Mohammed Bennamoun

The COVID-19 (coronavirus) is an ongoing pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus was first identified in mid-December 2019 in the Hubei province of Wuhan, China and by now has spread…

Image and Video Processing · Electrical Eng. & Systems 2022-01-26 Aditya Saxena , Shamsheer Pal Singh
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