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Related papers: POLCOVID: a multicenter multiclass chest X-ray dat…

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In recent years, the prevalence of several pulmonary diseases, especially the coronavirus disease 2019 (COVID-19) pandemic, has attracted worldwide attention. These diseases can be effectively diagnosed and treated with the help of lung…

Image and Video Processing · Electrical Eng. & Systems 2021-01-01 Yixuan Sun , Chengyao Li , Qian Zhang , Aimin Zhou , Guixu Zhang

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

During the COVID-19 pandemic, there has been an emerging need for rapid, dedicated, and point-of-care COVID-19 patient disposition techniques to optimize resource utilization and clinical workflow. In view of this need, we present…

Image and Video Processing · Electrical Eng. & Systems 2020-09-08 Xin Li , Chengyin Li , Dongxiao Zhu

The novel 2019 Coronavirus (COVID-19) infection has spread world widely and is currently a major healthcare challenge around the world. Chest Computed Tomography (CT) and X-ray images have been well recognized to be two effective techniques…

Image and Video Processing · Electrical Eng. & Systems 2021-02-23 Shunjie Dong , Qianqian Yang , Yu Fu , Mei Tian , Cheng Zhuo

The current COVID-19 pandemic is now getting contained, albeit at the cost of morethan2.3million human lives. A critical phase in any pandemic is the early detection of cases to develop preventive treatments and strategies. In the case of…

Image and Video Processing · Electrical Eng. & Systems 2021-04-15 Shehroz S. Khan , Faraz Khoshbakhtian , Ahmed Bilal Ashraf

Chest X-rays (X-ray images) have been proven to be effective for the diagnosis of chest diseases, including Pneumonia, Lung Opacity, and COVID-19. However, relying on traditional medical methods for diagnosis from X-ray images is prone to…

Image and Video Processing · Electrical Eng. & Systems 2025-10-01 Omar Hesham Khater , Abdullahi Sani Shuaib , Sami Ul Haq , Abdul Jabbar Siddiqui

Coronavirus disease 2019 (COVID-19) is a Public Health Emergency of International Concern infecting more than 40 million people across 188 countries and territories. Chest computed tomography (CT) imaging technique benefits from its high…

Image and Video Processing · Electrical Eng. & Systems 2021-02-02 Yifan Jiang , Han Chen , David K. Han , Hanseok Ko

This paper addresses the new problem of automated screening of coronavirus disease 2019 (COVID-19) based on chest X-rays, which is urgently demanded toward fast stopping the pandemic. However, robust and accurate screening of COVID-19 from…

Image and Video Processing · Electrical Eng. & Systems 2020-05-22 Tianyang Li , Zhongyi Han , Benzheng Wei , Yuanjie Zheng , Yanfei Hong , Jinyu Cong

The contagious and pandemic COVID-19 disease is currently considered as the main health concern and posed widespread panic across human-beings. It affects the human respiratory tract and lungs intensely. So that it has imposed significant…

Image and Video Processing · Electrical Eng. & Systems 2023-12-21 Vida Esmaeili , Mahmood Mohassel Feghhi , Seyed Omid Shahdi

COVID-19 is a virus with high transmission rate that demands rapid identification of the infected patients to reduce the spread of the disease. The current gold-standard test, Reverse-Transcription Polymerase Chain Reaction (RT-PCR), has a…

A newly identified coronavirus disease called COVID-19 mainly affects the human respiratory system. COVID-19 is an infectious disease caused by a virus originating in Wuhan, China, in December 2019. Early diagnosis is the primary challenge…

Image and Video Processing · Electrical Eng. & Systems 2022-07-12 Briskline Kiruba S , Petchiammal A , D. Murugan

Chest imaging plays an essential role in diagnosing and predicting patients with COVID-19 with evidence of worsening respiratory status. Many deep learning-based approaches for pneumonia recognition have been developed to enable…

Image and Video Processing · Electrical Eng. & Systems 2024-01-17 Shengchao Chen , Sufen Ren , Guanjun Wang , Mengxing Huang , Chenyang Xue

COVID-19, due to its accelerated spread has brought in the need to use assistive tools for faster diagnosis in addition to typical lab swab testing. Chest X-Rays for COVID cases tend to show changes in the lungs such as ground glass…

Image and Video Processing · Electrical Eng. & Systems 2020-10-27 Gayathiri Murugamoorthy , Naimul Khan

SARS-CoV-2, also known as COVID-19 or Coronavirus, is a viral contagious disease that is infected by a novel coronavirus, and has been rapidly spreading across the globe. It is very important to test and isolate people to reduce spread, and…

Image and Video Processing · Electrical Eng. & Systems 2021-05-25 Prerak Mann , Sahaj Jain , Saurabh Mittal , Aruna Bhat

The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging studies accompanied by radiological reports are accumulated and stored…

Computer Vision and Pattern Recognition · Computer Science 2019-02-01 Xiaosong Wang , Yifan Peng , Le Lu , Zhiyong Lu , Mohammadhadi Bagheri , Ronald M. Summers

Despite the introduction of vaccines, Coronavirus disease (COVID-19) remains a worldwide dilemma, continuously developing new variants such as Delta and the recent Omicron. The current standard for testing is through polymerase chain…

Image and Video Processing · Electrical Eng. & Systems 2022-01-28 Ibraheem Hamdi , Muhammad Ridzuan , Mohammad Yaqub

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

This technical report proposes the use of a deep convolutional neural network as a preliminary diagnostic method in the analysis of chest computed tomography images from patients with symptoms of Severe Acute Respiratory Syndrome (SARS) and…

Image and Video Processing · Electrical Eng. & Systems 2022-08-24 Victor Felipe Reis-Silva

The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread and has challenged different sectors. One of the most effective ways to limit its spread is the early and accurate diagnosing infected patients. Medical…

The recent outbreak of COVID-19 has led to urgent needs for reliable diagnosis and management of SARS-CoV-2 infection. As a complimentary tool, chest CT has been shown to be able to reveal visual patterns characteristic for COVID-19, which…

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