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COVID-19 is currently one the most life-threatening problems around the world. The fast and accurate detection of the COVID-19 infection is essential to identify, take better decisions and ensure treatment for the patients which will help…

Image and Video Processing · Electrical Eng. & Systems 2020-04-21 Md Zahangir Alom , M M Shaifur Rahman , Mst Shamima Nasrin , Tarek M. Taha , Vijayan K. Asari

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

Chest computed tomography (CT) has played an essential diagnostic role in assessing patients with COVID-19 by showing disease-specific image features such as ground-glass opacity and consolidation. Image segmentation methods have proven to…

Image and Video Processing · Electrical Eng. & Systems 2021-07-26 Seong Tae Kim , Leili Goli , Magdalini Paschali , Ashkan Khakzar , Matthias Keicher , Tobias Czempiel , Egon Burian , Rickmer Braren , Nassir Navab , Thomas Wendler

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

Since COVID strongly affects the respiratory system, lung CT-scans can be used for the analysis of a patients health. We introduce a neural network for the prediction of the severity of lung damage and the detection of a COVID-infection…

Image and Video Processing · Electrical Eng. & Systems 2022-08-18 Daniel Kienzle , Julian Lorenz , Robin Schön , Katja Ludwig , Rainer Lienhart

COVID-19 has adversely affected humans and societies in different aspects. Numerous people have perished due to inaccurate COVID-19 identification and, consequently, a lack of appropriate medical treatment. Numerous solutions based on…

Image and Video Processing · Electrical Eng. & Systems 2023-09-06 AmirReza BabaAhmadi , Sahar Khalafi , Masoud ShariatPanahi , Moosa Ayati

Clinicians in the frontline need to assess quickly whether a patient with symptoms indeed has COVID-19 or not. The difficulty of this task is exacerbated in low resource settings that may not have access to biotechnology tests. Furthermore,…

Image and Video Processing · Electrical Eng. & Systems 2021-08-23 Ali H. Al-Timemy , Rami N. Khushaba , Zahraa M. Mosa , Javier Escudero

Interpreting chest radiograph, a.ka. chest x-ray, images is a necessary and crucial diagnostic tool used by medical professionals to detect and identify many diseases that may plague a patient. Although the images themselves contain a…

Image and Video Processing · Electrical Eng. & Systems 2020-07-03 Nikita Albert

The COVID-19 pandemic has spread globally for several months. Because its transmissibility and high pathogenicity seriously threaten people's lives, it is crucial to accurately and quickly detect COVID-19 infection. Many recent studies have…

Image and Video Processing · Electrical Eng. & Systems 2021-02-15 Xin He , Shihao Wang , Xiaowen Chu , Shaohuai Shi , Jiangping Tang , Xin Liu , Chenggang Yan , Jiyong Zhang , Guiguang Ding

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

Computed Tomography (CT) scans provide a detailed image of the lungs, allowing clinicians to observe the extent of damage caused by COVID-19. The CT severity score (CTSS) based scoring method is used to identify the extent of lung…

Image and Video Processing · Electrical Eng. & Systems 2023-03-20 Anand Thyagachandran , Hema A Murthy

How to fast and accurately assess the severity level of COVID-19 is an essential problem, when millions of people are suffering from the pandemic around the world. Currently, the chest CT is regarded as a popular and informative imaging…

Image and Video Processing · Electrical Eng. & Systems 2021-02-09 Zekun Li , Wei Zhao , Feng Shi , Lei Qi , Xingzhi Xie , Ying Wei , Zhongxiang Ding , Yang Gao , Shangjie Wu , Jun Liu , Yinghuan Shi , Dinggang Shen

The novel corona-virus disease (COVID-19) pandemic has caused a major outbreak in more than 200 countries around the world, leading to a severe impact on the health and life of many people globally. As of Aug 25th of 2020, more than 20…

Image and Video Processing · Electrical Eng. & Systems 2020-09-14 Shakib Yazdani , Shervin Minaee , Rahele Kafieh , Narges Saeedizadeh , Milan Sonka

The controversy of computed tomography (CT) use in COVID-19 screening is associated with ambiguous characteristics of chest CT as a diagnostic test. The reported values of CT sensitivity and specificity calculated using RT-PCR as a…

Novel Coronavirus disease (COVID-19) has abruptly and undoubtedly changed the world as we know it at the end of the 2nd decade of the 21st century. COVID-19 is extremely contagious and quickly spreading globally making its early diagnosis…

Computer Vision and Pattern Recognition · Computer Science 2020-04-20 Parnian Afshar , Shahin Heidarian , Farnoosh Naderkhani , Anastasia Oikonomou , Konstantinos N. Plataniotis , Arash Mohammadi

To develop a deep-learning model that integrates radiomics analysis for enhanced performance of COVID-19 and Non-COVID-19 pneumonia detection using chest X-ray image, two deep-learning models were trained based on a pre-trained VGG-16…

Image and Video Processing · Electrical Eng. & Systems 2022-10-12 Zongsheng Hu , Zhenyu Yang , Kyle J. Lafata , Fang-Fang Yin , Chunhao Wang

Background: Chest computed tomography (CT) is recognized as an important tool for COVID-19 severity assessment. As the number of affected patients increase rapidly, manual severity assessment becomes a labor-intensive task, and may lead to…

Image and Video Processing · Electrical Eng. & Systems 2020-03-28 Zhenyu Tang , Wei Zhao , Xingzhi Xie , Zheng Zhong , Feng Shi , Jun Liu , Dinggang Shen

Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient treatment. Chest X-Ray (CXR) is the first line imaging test for COVID-19 pneumonia diagnosis as it is fast, cheap and easily accessible. Inspired by the…

Image and Video Processing · Electrical Eng. & Systems 2023-02-20 Xin Zhang , Liangxiu Han , Tam Sobeih , Lianghao Han , Nina Dempsey , Symeon Lechareas , Ascanio Tridente , Haoming Chen , Stephen White

The significance of efficient and accurate diagnosis amidst the unique challenges posed by the COVID-19 pandemic underscores the urgency for innovative approaches. In response to these challenges, we propose a transfer learning-based…

Image and Video Processing · Electrical Eng. & Systems 2023-12-12 Kenan Morani , Esra Kaya Ayana , Devrim Unay

Since the onset of the COVID-19 pandemic in 2020, millions of people have succumbed to this deadly virus. Many attempts have been made to devise an automated method of testing that could detect the virus. Various researchers around the…

Image and Video Processing · Electrical Eng. & Systems 2021-11-11 Samyak Prajapati , Japman Singh Monga , Shaanya Singh , Amrit Raj , Yuvraj Singh Champawat , Chandra Prakash