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Related papers: Detecting COVID-19 from Chest Computed Tomography …

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Early detection of COVID-19 is key in containing the pandemic. Disease detection and evaluation based on imaging is fast and cheap and therefore plays an important role in COVID-19 handling. COVID-19 is easier to detect in chest CT,…

Coronavirus disease (COVID-19) is a contagious infection caused by severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) and it has infected and killed millions of people across the globe. In the absence of specific drugs or vaccines…

Image and Video Processing · Electrical Eng. & Systems 2022-07-12 Wajid Arshad Abbasi , Syed Ali Abbas , Saiqa Andleeb

The world is still overwhelmed by the spread of the COVID-19 virus. With over 250 Million infected cases as of November 2021 and affecting 219 countries and territories, the world remains in the pandemic period. Detecting COVID-19 using the…

Image and Video Processing · Electrical Eng. & Systems 2022-10-27 Gargi Desai , Nelly Elsayed , Zag Elsayed , Murat Ozer

Testing for COVID-19 has been unable to keep up with the demand. Further, the false negative rate is projected to be as high as 30% and test results can take some time to obtain. X-ray machines are widely available and provide images for…

Image and Video Processing · Electrical Eng. & Systems 2020-05-22 Lawrence O. Hall , Rahul Paul , Dmitry B. Goldgof , Gregory M. Goldgof

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

This paper introduces a paradigm of smartphone application based disease diagnostics that may completely revolutionise the way healthcare services are being provided. Although primarily aimed to assist the problems in rendering the…

Image and Video Processing · Electrical Eng. & Systems 2020-08-21 Hrithwik Shalu , Harikrishnan P , Akash Das , Megdut Mandal , Harshavardhan M Sali , Juned Kadiwala

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

Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep Learning techniques…

Image and Video Processing · Electrical Eng. & Systems 2025-01-27 Aysen Degerli , Mete Ahishali , Mehmet Yamac , Serkan Kiranyaz , Muhammad E. H. Chowdhury , Khalid Hameed , Tahir Hamid , Rashid Mazhar , Moncef Gabbouj

The new coronavirus 2019 (COVID-2019) has rapidly become a pandemic and has had a devastating effect on both everyday life, public health and the global economy. It is critical to detect positive cases as early as possible to prevent the…

Image and Video Processing · Electrical Eng. & Systems 2021-04-13 Carlos Rojas-Azabache , Karen Vilca-Janampa , Renzo Guerrero-Huayta , Dennis Núñez-Fernández

The COVID-19 pandemic has been having a severe and catastrophic effect on humankind and is being considered the most crucial health calamity of the century. One of the best methods of detecting COVID-19 is from radiological images, namely…

Image and Video Processing · Electrical Eng. & Systems 2020-10-15 Arjun Sarkar , Joerg Vandenhirtz , Jozsef Nagy , David Bacsa , Mitchell Riley

The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid…

Image and Video Processing · Electrical Eng. & Systems 2025-06-10 Md. Alamin Talukder , Md. Abu Layek , Mohsin Kazi , Md Ashraf Uddin , Sunil Aryal

Chest X-rays have been widely used for COVID-19 screening; however, 3D computed tomography (CT) is a more effective modality. We present our findings on COVID-19 severity prediction from chest CT scans using the STOIC dataset. We developed…

Image and Video Processing · Electrical Eng. & Systems 2023-05-18 Sidra Aleem , Mayug Maniparambil , Suzanne Little , Noel O'Connor , Kevin McGuinness

The global outbreak of the novel corona virus (COVID-19) disease has drastically impacted the world and led to one of the most challenging crisis across the globe since World War II. The early diagnosis and isolation of COVID-19 positive…

Coronavirus, or COVID-19, is a hazardous disease that has endangered the health of many people around the world by directly affecting the lungs. COVID-19 is a medium-sized, coated virus with a single-stranded RNA, and also has one of the…

Importance: An artificial intelligence (AI)-based model to predict COVID-19 likelihood from chest x-ray (CXR) findings can serve as an important adjunct to accelerate immediate clinical decision making and improve clinical decision making.…

Rapid and affordable methods of testing for COVID-19 infections are essential to reduce infection rates and prevent medical facilities from becoming overwhelmed. Current approaches of detecting COVID-19 require in-person testing with…

Introduction: During the COVID-19 pandemic, computed tomography (CT) was a popular method for diagnosing COVID-19 patients. HRCT (High-Resolution Computed Tomography) is a form of computed tomography that uses advanced methods to improve…

Image and Video Processing · Electrical Eng. & Systems 2023-12-06 Iraj Abedi , Mahsa Vali , Bentolhoda Otroshi , Maryam Zamanian , Hamidreza Bolhasani

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. It is similar to influenza viruses and raises concerns through alarming levels of spread and severity resulting in an ongoing pandemic…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-09-01 Adarsh Kumar , Kriti Sharma , Harvinder Singh , Sagar Gupta Naugriya , Sukhpal Singh Gill , Rajkumar Buyya

This paper presents a fully-automated method for the identification of suspicious regions of a coronavirus disease (COVID-19) on chest CT volumes. One major role of chest CT scanning in COVID-19 diagnoses is identification of an…

Image and Video Processing · Electrical Eng. & Systems 2023-03-28 Ryo Toda , Hayato Itoh , Masahiro Oda , Yuichiro Hayashi , Yoshito Otake , Masahiro Hashimoto , Toshiaki Akashi , Shigeki Aoki , Kensaku Mori

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
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