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The current pandemic, caused by the outbreak of a novel coronavirus (COVID-19) in December 2019, has led to a global emergency that has significantly impacted economies, healthcare systems and personal wellbeing all around the world.…

Image and Video Processing · Electrical Eng. & Systems 2021-01-19 Xiaocong Chen , Lina Yao , Tao Zhou , Jinming Dong , Yu Zhang

CXR-Net is a two-module Artificial Intelligence pipeline for the quick detection of SARS-CoV-2 from chest X-rays (CXRs). Module 1 was trained on a public dataset of 6395 CXRs with radiologist annotated lung contours to generate masks of the…

Image and Video Processing · Electrical Eng. & Systems 2021-03-02 Haikal Abdulah , Benjamin Huber , Sinan Lal , Hassan Abdallah , Luigi L. Palese , Hamid Soltanian-Zadeh , Domenico L. Gatti

Identifying who is infected with the Covid-19 virus is critical for controlling its spread. X-ray machines are widely available worldwide and can quickly provide images that can be used for diagnosis. A number of recent studies claim it may…

Image and Video Processing · Electrical Eng. & Systems 2021-02-09 Kaoutar Ben Ahmed , Lawrence O. Hall , Dmitry B. Goldgof , Gregory M. Goldgof , Rahul Paul

In the break of COVID-19 pandemic, mass testing has become essential to reduce the spread of the virus. Several recent studies suggest that a significant number of COVID-19 patients display no physical symptoms whatsoever. Therefore, it is…

Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 infection with high…

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

Deep neural networks (DNNs) have been widely applied for detecting COVID-19 in medical images. Existing studies mainly apply transfer learning and other data representation strategies to generate accurate point estimates. The generalization…

Image and Video Processing · Electrical Eng. & Systems 2020-12-23 Hamzeh Asgharnezhad , Afshar Shamsi , Roohallah Alizadehsani , Abbas Khosravi , Saeid Nahavandi , Zahra Alizadeh Sani , Dipti Srinivasan

The new coronavirus (known as COVID-19) was first identified in Wuhan and quickly spread worldwide, wreaking havoc on the economy and people's everyday lives. Fever, cough, sore throat, headache, exhaustion, muscular aches, and difficulty…

Image and Video Processing · Electrical Eng. & Systems 2022-03-29 Hamid Nasiri , Seyyed Ali Alavi

In this study, a dataset of X-ray images from patients with common viral pneumonia, bacterial pneumonia, confirmed Covid-19 disease was utilized for the automatic detection of the Coronavirus disease. The point of the investigation is to…

Image and Video Processing · Electrical Eng. & Systems 2021-10-19 Sarath Pathari

The Coronavirus Disease 2019 (COVID-19) has spread globally and caused serious damage. Chest X-ray images are widely used for COVID-19 diagnosis and the Artificial Intelligence method can increase efficiency and accuracy. In the Challenge…

Image and Video Processing · Electrical Eng. & Systems 2023-01-03 Juntao Jiang , Shuyi Lin

Propose: Troubling countries one after another, the COVID-19 pandemic has dramatically affected the health and well-being of the world's population. The disease may continue to persist more extensively due to the increasing number of new…

Image and Video Processing · Electrical Eng. & Systems 2020-11-10 Ali Al-Bawi , Karrar Ali Al-Kaabi , Mohammed Jeryo , Ahmad Al-Fatlawi

The rapid spread of COVID-19 has necessitated efficient and accurate diagnostic methods. Computed Tomography (CT) scan images have emerged as a valuable tool for detecting the disease. In this article, we present a novel deep learning…

Image and Video Processing · Electrical Eng. & Systems 2023-08-15 Susmita Ghosh , Abhiroop Chatterjee

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

Segmentation of COVID-19 lesions from chest CT scans is of great importance for better diagnosing the disease and investigating its extent. However, manual segmentation can be very time consuming and subjective, given the lesions' large…

Image and Video Processing · Electrical Eng. & Systems 2021-01-14 Simone Bendazzoli , Irene Brusini , Mehdi Astaraki , Mats Persson , Jimmy Yu , Bryan Connolly , Sven Nyrén , Fredrik Strand , Örjan Smedby , Chunliang Wang

Automated detecting lung infections from computed tomography (CT) data plays an important role for combating COVID-19. However, there are still some challenges for developing AI system. 1) Most current COVID-19 infection segmentation…

Image and Video Processing · Electrical Eng. & Systems 2022-11-11 Liansheng Wang , Jiacheng Wang , Lei Zhu , Huazhu Fu , Ping Li , Gary Cheng , Zhipeng Feng , Shuo Li , Pheng-Ann Heng

The current COVID-19 pandemic is a serious threat to humanity that directly affects the lungs. Automatic identification of COVID-19 is a challenge for health care officials. The standard gold method for diagnosing COVID-19 is Reverse…

Image and Video Processing · Electrical Eng. & Systems 2022-08-09 Briskline Kiruba S , Petchiammal A , D. Murugan

The novel coronavirus disease 2019 (COVID-19) has been spreading rapidly around the world and caused significant impact on the public health and economy. However, there is still lack of studies on effectively quantifying the lung infection…

Image and Video Processing · Electrical Eng. & Systems 2020-04-14 Xiaocong Chen , Lina Yao , Yu Zhang

There are multiple papers published about different AI models for the COVID-19 diagnosis with promising results. Unfortunately according to the reviews many of the papers do not reach the level of sophistication needed for a clinically…

Image and Video Processing · Electrical Eng. & Systems 2022-01-19 Tuomo Kalliokoski

Coronavirus disease 2019 (Covid-19) is highly contagious with limited treatment options. Early and accurate diagnosis of Covid-19 is crucial in reducing the spread of the disease and its accompanied mortality. Currently, detection by…

The new coronavirus disease (COVID-19) has been declared a pandemic since March 2020 by the World Health Organization. It consists of an emerging viral infection with respiratory tropism that could develop atypical pneumonia. Experts…

Computer Vision and Pattern Recognition · Computer Science 2021-05-04 Walid Hariri , Ali Narin
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