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Covid-19 global pandemic continues to devastate health care systems across the world. At present, the Covid-19 testing is costly and time-consuming. Chest X-Ray (CXR) testing can be a fast, scalable, and non-invasive method. The existing…

Image and Video Processing · Electrical Eng. & Systems 2022-01-25 Anirudh Ambati , Shiv Ram Dubey

Coronavirus disease 2019 (COVID-19) has been the main agenda of the whole world, since it came into sight in December 2019 as it has significantly affected the world economy and healthcare system. Given the effects of COVID-19 on pulmonary…

Purpose: The need to streamline patient management for COVID-19 has become more pressing than ever. Chest X-rays provide a non-invasive (potentially bedside) tool to monitor the progression of the disease. In this study, we present a…

Image and Video Processing · Electrical Eng. & Systems 2020-07-01 Joseph Paul Cohen , Lan Dao , Paul Morrison , Karsten Roth , Yoshua Bengio , Beiyi Shen , Almas Abbasi , Mahsa Hoshmand-Kochi , Marzyeh Ghassemi , Haifang Li , Tim Q Duong

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

The novel 2019 Coronavirus disease (COVID-19) global pandemic is a defining health crisis. Recent efforts have been increasingly directed towards achieving quick and accurate detection of COVID-19 across symptomatic patients to mitigate the…

Image and Video Processing · Electrical Eng. & Systems 2023-11-27 Karina Yang , Alexis Bennett , Dominique Duncan

This paper is responding to the MIA-COV19 challenge to classify COVID from non-COVID based on CT lung images. The COVID-19 virus has devastated the world in the last eighteen months by infecting more than 182 million people and causing over…

Image and Video Processing · Electrical Eng. & Systems 2021-07-06 Xiaohong Gao , Yu Qian , Alice Gao

The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community. In this study we provide insights and also raise…

Image and Video Processing · Electrical Eng. & Systems 2020-10-20 Enzo Tartaglione , Carlo Alberto Barbano , Claudio Berzovini , Marco Calandri , Marco Grangetto

During the outbreak time of COVID-19, computed tomography (CT) is a useful manner for diagnosing COVID-19 patients. Due to privacy issues, publicly available COVID-19 CT datasets are highly difficult to obtain, which hinders the research…

Machine Learning · Computer Science 2020-06-19 Xingyi Yang , Xuehai He , Jinyu Zhao , Yichen Zhang , Shanghang Zhang , Pengtao Xie

The coronavirus disease (COVID-19) pandemic has led to a devastating effect on the global public health. Computed Tomography (CT) is an effective tool in the screening of COVID-19. It is of great importance to rapidly and accurately segment…

Image and Video Processing · Electrical Eng. & Systems 2021-02-09 Tongxue Zhou , Stéphane Canu , Su Ruan

The paper presents the DEF-AI-MIA COV19D Competition, which is organized in the framework of the 'Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis (DEF-AI-MIA)' Workshop of the 2024 Computer Vision and Pattern…

Image and Video Processing · Electrical Eng. & Systems 2024-03-12 Dimitrios Kollias , Anastasios Arsenos , Stefanos Kollias

Testing for COVID-19 has been unable to keep up with the demand. Further, the false negative rate is projected to be as high as 30% and test results can take some time to obtain. X-ray machines are widely available and provide images for…

Image and Video Processing · Electrical Eng. & Systems 2020-05-22 Lawrence O. Hall , Rahul Paul , Dmitry B. Goldgof , Gregory M. Goldgof

In the last few months, the novel COVID19 pandemic has spread all over the world. Due to its easy transmission, developing techniques to accurately and easily identify the presence of COVID19 and distinguish it from other forms of flu and…

Image and Video Processing · Electrical Eng. & Systems 2020-04-01 Muhammad Farooq , Abdul Hafeez

The COVID-19 pandemic has been having a severe and catastrophic effect on humankind and is being considered the most crucial health calamity of the century. One of the best methods of detecting COVID-19 is from radiological images, namely…

Image and Video Processing · Electrical Eng. & Systems 2020-10-15 Arjun Sarkar , Joerg Vandenhirtz , Jozsef Nagy , David Bacsa , Mitchell Riley

COVID-19 has affected more than 223 countries worldwide. There is a pressing need for non invasive, low costs and highly scalable solutions to detect COVID-19, especially in low-resource countries where PCR testing is not ubiquitously…

Sound · Computer Science 2022-09-09 Wafaa Aljbawi , Sami O. Simmons , Visara Urovi

Since this COVID-19 pandemic thrives, the utilization of X-Ray images of the Chest (CXR) as a complementary screening technique to RT-PCR testing grows to its clinical use for respiratory complaints. Many new deep learning approaches have…

Image and Video Processing · Electrical Eng. & Systems 2021-09-07 Md Gulzar Hussain , Ye Shiren

Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine learning is an efficient and accurate way to detect COVID-19 infections. However, sharing diagnostic images across medical institutions is usually not allowed due to…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-27 Weishan Zhang , Tao Zhou , Qinghua Lu , Xiao Wang , Chunsheng Zhu , Haoyun Sun , Zhipeng Wang , Sin Kit Lo , Fei-Yue Wang

In this study, the problem of automatically classifying pulmonary diseases, including the recently emerged COVID-19, from X-Ray images, is considered. While the spread of COVID-19 is increased, new, automatic, and reliable methods for…

Image and Video Processing · Electrical Eng. & Systems 2020-06-09 Ioannis D. Apostolopoulos , Sokratis Aznaouridis , Mpesiana Tzani

Controlling the COVID-19 pandemic largely hinges upon the existence of fast, safe, and highly-available diagnostic tools. Ultrasound, in contrast to CT or X-Ray, has many practical advantages and can serve as a globally-applicable…

Computer Vision and Pattern Recognition · Computer Science 2021-01-14 Jannis Born , Nina Wiedemann , Gabriel Brändle , Charlotte Buhre , Bastian Rieck , Karsten Borgwardt

Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200 countries affecting millions and claiming almost 1 million lives, since its emergence in late 2019. This highly contagious disease can easily spread, and if not…

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)…

Image and Video Processing · Electrical Eng. & Systems 2022-03-14 Essam H. Houssein , Zainab Abohashima , Mohamed Elhoseny , Waleed M. Mohamed
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