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COVID-19 (Coronavirus disease 2019) has been quickly spreading since its outbreak, impacting financial markets and healthcare systems globally. Countries all around the world have adopted a number of extraordinary steps to restrict the…

Image and Video Processing · Electrical Eng. & Systems 2023-02-16 Song Wu , Yazhou Ren , Aodi Yang , Xinyue Chen , Xiaorong Pu , Jing He , Liqiang Nie , Philip S. Yu

The COVID-19 pandemic continues to rage on, with multiple waves causing substantial harm to health and economies around the world. Motivated by the use of CT imaging at clinical institutes around the world as an effective complementary…

Image and Video Processing · Electrical Eng. & Systems 2021-01-27 Hayden Gunraj , Ali Sabri , David Koff , Alexander Wong

Real-time detection of COVID-19 using radiological images has gained priority due to the increasing demand for fast diagnosis of COVID-19 cases. This paper introduces a novel two-phase approach for classifying chest X-ray images. Deep…

Image and Video Processing · Electrical Eng. & Systems 2021-06-04 Hu Tianqing , Mohammad Khishe , Mokhtar Mohammadi , Gholam-Reza Parvizi , Sarkhel H. Taher Karim , Tarik A. Rashid

Coronavirus disease (Covid-19) has been the main agenda of the whole world since it came in sight in December 2019. It has already caused thousands of causalities and infected several millions worldwide. Any technological tool that can be…

Image and Video Processing · Electrical Eng. & Systems 2026-05-06 Mehmet Yamac , Mete Ahishali , Aysen Degerli , Serkan Kiranyaz , Muhammad E. H. Chowdhury , Moncef Gabbouj

COVID-19 is a highly contagious respiratory infection that has affected a large population across the world and continues with its devastating consequences. It is imperative to detect COVID-19 at the earliest to limit the span of infection.…

Image and Video Processing · Electrical Eng. & Systems 2020-12-18 Saddam Hussain Khan , Anabia Sohail , Asifullah Khan

Computed tomography (CT) and chest X-ray (CXR) have been the two dominant imaging modalities deployed for improved management of Coronavirus disease 2019 (COVID-19). Due to faster imaging, less radiation exposure, and being cost-effective…

Image and Video Processing · Electrical Eng. & Systems 2021-12-21 Xiao Qi , John L. Nosher , David J. Foran , Ilker Hacihaliloglu

Timely and rapid diagnoses are core to informing on optimum interventions that curb the spread of COVID-19. The use of medical images such as chest X-rays and CTs has been advocated to supplement the Reverse-Transcription Polymerase Chain…

Image and Video Processing · Electrical Eng. & Systems 2023-05-31 Ogechukwu Ukwandu , Hanan Hindy , Elochukwu Ukwandu

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

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

In here, we introduce a novel approach to enhance the accuracy and efficiency of COVID-19 diagnosis using CT images. Leveraging state-of-the-art Transformer models in computer vision, we employed the base ViT Transformer configured for…

Image and Video Processing · Electrical Eng. & Systems 2023-11-29 Kenan Morani

Coronavirus Disease 2019 (COVID-19) has spread globally and become a health crisis faced by humanity since first reported. Radiology imaging technologies such as computer tomography (CT) and chest X-ray imaging (CXR) are effective tools for…

Image and Video Processing · Electrical Eng. & Systems 2022-07-05 Hongyan Xu , Dadong Wang , Arcot Sowmya

Since the beginning of the COVID-19 pandemic, researchers have developed deep learning models to classify COVID-19 induced pneumonia. As with many medical imaging tasks, the quality and quantity of the available data is often limited. In…

Image and Video Processing · Electrical Eng. & Systems 2021-12-15 Daniel Schaudt , Christopher Kloth , Christian Spaete , Andreas Hinteregger , Meinrad Beer , Reinhold von Schwerin

Due to the shortage of COVID-19 viral testing kits and the long waiting time, radiology imaging is used to complement the screening process and triage patients into different risk levels. Deep learning based methods have taken an active…

Image and Video Processing · Electrical Eng. & Systems 2020-08-06 Jieli Zhou , Baoyu Jing , Zeya Wang

The chest X-ray (CXR) is one of the most common and easy-to-get medical tests used to diagnose common diseases of the chest. Recently, many deep learning-based methods have been proposed that are capable of effectively classifying CXRs.…

Image and Video Processing · Electrical Eng. & Systems 2023-05-23 Weizhi Nie , Chen Zhang , Dan Song , Lina Zhao , Yunpeng Bai , Keliang Xie , Anan Liu

The Coronavirus disease 2019 (COVID-19) was first identified in Wuhan, China, in early December 2019 and now becoming a pandemic. When COVID-19 patients undergo radiography examination, radiologists can observe the present of radiographic…

Image and Video Processing · Electrical Eng. & Systems 2022-12-27 Mei Gah Lim , Hoi Leong Lee

The COVID-19 pandemic continues to spread and impact the well-being of the global population. The front-line modalities including computed tomography (CT) and X-ray play an important role for triaging COVID patients. Considering the limited…

Purpose: Artificial intelligence (AI) techniques have been extensively utilized for diagnosing and prognosis of several diseases in recent years. This study identifies, appraises and synthesizes published studies on the use of AI for the…

Chest X-ray (CXR) is a widely performed radiology examination that helps to detect abnormalities in the tissues and organs in the thoracic cavity. Detecting pulmonary abnormalities like COVID-19 may become difficult due to that they are…

Image and Video Processing · Electrical Eng. & Systems 2022-05-04 Sivaramakrishnan Rajaraman , Gregg Cohen , Lillian Spear , Les folio , Sameer Antani

While image analysis of chest computed tomography (CT) for COVID-19 diagnosis has been intensively studied, little work has been performed for image-based patient outcome prediction. Management of high-risk patients with early intervention…

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