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Chest X-rays of coronavirus disease 2019 (COVID-19) patients are frequently obtained to determine the extent of lung disease and are a valuable source of data for creating artificial intelligence models. Most work to date assessing disease…

Image and Video Processing · Electrical Eng. & Systems 2021-05-21 Vignav Ramesh , Blaine Rister , Daniel L. Rubin

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

This study presents early phase detection of Coronavirus (COVID-19), which is named by World Health Organization (WHO), by machine learning methods. The detection process was implemented on abdominal Computed Tomography (CT) images. The…

Computer Vision and Pattern Recognition · Computer Science 2020-03-24 Mucahid Barstugan , Umut Ozkaya , Saban Ozturk

Purpose: Develop AI-based automated CT image analysis tools for detection, quantification, and tracking of Coronavirus; demonstrate they can differentiate coronavirus patients from non-patients. Materials and Methods: Multiple international…

Image and Video Processing · Electrical Eng. & Systems 2020-04-02 Ophir Gozes , Maayan Frid-Adar , Hayit Greenspan , Patrick D. Browning , Huangqi Zhang , Wenbin Ji , Adam Bernheim , Eliot Siegel

Since 2019, the global dissemination of the Coronavirus and its novel strains has resulted in a surge of new infections. The use of X-ray and computed tomography (CT) imaging techniques is critical in diagnosing and managing COVID-19.…

Image and Video Processing · Electrical Eng. & Systems 2024-01-17 Sayed Amir Mousavi Mobarakeh , Kamran Kazemi , Ardalan Aarabi , Habibollah Danyal

We found that the real time reverse transcription-polymerase chain reaction (RT-PCR) detection of viral RNA from sputum or nasopharyngeal swab has a relatively low positive rate in the early stage to determine COVID-19 (named by the World…

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

Coronavirus is a large virus family consisting of diverse viruses, some of which disseminate among mammals and others cause sickness among humans. COVID-19 is highly contagious and is rapidly spreading, rendering its early diagnosis of…

Image and Video Processing · Electrical Eng. & Systems 2021-07-07 Peeyush Kumar , Ayushe Gangal , Sunita Kumari

Background: Novel coronavirus disease has spread rapidly worldwide. As recent radiological literatures on Covid-19 related pneumonia is primarily focused on CT findings, the American College of Radiology (ACR) recommends using portable…

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

In recent years, people from all over the world are suffering from one of the most severe diseases in history, known as Coronavirus disease 2019, COVID-19 for short. When the virus reaches the lungs, it has a higher probability to cause…

Neural and Evolutionary Computing · Computer Science 2021-12-15 Meng Zhou

The most deadly and life-threatening disease in the world is lung cancer. Though early diagnosis and accurate treatment are necessary for lowering the lung cancer mortality rate. A computerized tomography (CT) scan-based image is one of the…

Image and Video Processing · Electrical Eng. & Systems 2023-04-12 Muntasir Mamun , Md Ishtyaq Mahmud , Mahabuba Meherin , Ahmed Abdelgawad

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 halted the whole world, bringing a devastating effect on public health, global economy, and educational systems. As the vaccine of the virus is still not available, the most effective way to combat the…

Image and Video Processing · Electrical Eng. & Systems 2020-09-01 A. Q. M. Sazzad Sayyed , Dipayan Saha , Abdul Rakib Hossain

COVID-19 (also known as 2019 Novel Coronavirus) first emerged in Wuhan, China and spread across the globe with unprecedented effect and has now become the greatest crisis of the modern era. The COVID-19 has proved much more pervasive…

Image and Video Processing · Electrical Eng. & Systems 2020-04-02 Halgurd S. Maghdid , Aras T. Asaad , Kayhan Zrar Ghafoor , Ali Safaa Sadiq , Muhammad Khurram Khan

The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, raising the need to develop novel tools to provide rapid and cost-effective screening and diagnosis. Clinical reports indicated that COVID-19 infection…

Image and Video Processing · Electrical Eng. & Systems 2023-01-11 Thao Nguyen , Hieu H. Pham , Huy Khiem Le , Anh Tu Nguyen , Ngoc Tien Thanh , Cuong Do

The outbreak of COVID-19 has lead to a global effort to decelerate the pandemic spread. For this purpose chest computed-tomography (CT) based screening and diagnosis of COVID-19 suspected patients is utilized, either as a support or…

Image and Video Processing · Electrical Eng. & Systems 2024-10-30 Dor Amran , Maayan Frid-Adar , Nimrod Sagie , Jannette Nassar , Asher Kabakovitch , Hayit Greenspan

Recent research on COVID-19 suggests that CT imaging provides useful information to assess disease progression and assist diagnosis, in addition to help understanding the disease. There is an increasing number of studies that propose to use…

Quantitative lung measures derived from computed tomography (CT) have been demonstrated to improve prognostication in coronavirus disease (COVID-19) patients, but are not part of the clinical routine since required manual segmentation of…

Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung infections from computed tomography (CT) images offers a great potential to augment the…

Image and Video Processing · Electrical Eng. & Systems 2020-05-25 Deng-Ping Fan , Tao Zhou , Ge-Peng Ji , Yi Zhou , Geng Chen , Huazhu Fu , Jianbing Shen , Ling Shao