English
Related papers

Related papers: COVID-CLNet: COVID-19 Detection with Compressive D…

200 papers

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

Objectives: To investigate machine-learning classifiers and interpretable models using chest CT for detection of COVID-19 and differentiation from other pneumonias, ILD and normal CTs. Methods: Our retrospective multi-institutional study…

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 novel coronavirus variant, which is also widely known as COVID-19, is currently a common threat to all humans across the world. Effective recognition of COVID-19 using advanced machine learning methods is a timely need. Although many…

Image and Video Processing · Electrical Eng. & Systems 2022-08-02 Selvarajah Thuseethan , Chathrie Wimalasooriya , Shanmuganathan Vasanthapriyan

The COVID19 pandemic globally and significantly has affected the life and health of many communities. The early detection of infected patients is effective in fighting COVID19. Using radiology (X-Ray) images is perhaps the fastest way to…

Image and Video Processing · Electrical Eng. & Systems 2021-06-01 Wu Chao , Mohammad Khishe , Mokhtar Mohammadi , Sarkhel H. Taher Karim , Tarik A. Rashid

COVID-19 pandemic has spread rapidly and caused a shortage of global medical resources. The efficiency of COVID-19 diagnosis has become highly significant. As deep learning and convolutional neural network (CNN) has been widely utilized and…

Image and Video Processing · Electrical Eng. & Systems 2022-05-30 Alexandros Shikun Zhang , Naomi Fengqi Li

The emergence of COVID-19 has necessitated many efforts by the scientific community for its proper management. An urgent clinical reaction is required in the face of the unending devastation being caused by the pandemic. These efforts…

Machine Learning · Computer Science 2020-12-14 Parsa Sarosh , Shabir A. Parah , Romany F Mansur , G. M. Bhat

Background: This paper provides a systematic review of the application of Artificial Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in fighting against the effects of novel coronavirus disease…

Image and Video Processing · Electrical Eng. & Systems 2021-10-29 M. Rubaiyat Hossain Mondal , Subrato Bharati , Prajoy Podder

The newly identified Coronavirus pneumonia, subsequently termed COVID-19, is highly transmittable and pathogenic with no clinically approved antiviral drug or vaccine available for treatment. The most common symptoms of COVID-19 are dry…

Image and Video Processing · Electrical Eng. & Systems 2020-04-23 Sara Hosseinzadeh Kassani , Peyman Hosseinzadeh Kassasni , Michal J. Wesolowski , Kevin A. Schneider , Ralph Deters

Background and Objective The novel Coronavirus also called COVID-19 originated in Wuhan, China in December 2019 and has now spread across the world. It has so far infected around 1.8 million people and claimed approximately 114,698 lives…

Image and Video Processing · Electrical Eng. & Systems 2020-06-15 Asif Iqbal Khan , Junaid Latief Shah , Mudasir Bhat

Chest X-rays (X-ray images) have been proven to be effective for the diagnosis of chest diseases, including Pneumonia, Lung Opacity, and COVID-19. However, relying on traditional medical methods for diagnosis from X-ray images is prone to…

Image and Video Processing · Electrical Eng. & Systems 2025-10-01 Omar Hesham Khater , Abdullahi Sani Shuaib , Sami Ul Haq , Abdul Jabbar Siddiqui

Spreading of COVID-19 virus has increased the efforts to provide testing kits. Not only the preparation of these kits had been hard, rare, and expensive but also using them is another issue. Results have shown that these kits take some…

Image and Video Processing · Electrical Eng. & Systems 2020-10-13 Ramtin Babaeipour , Elham Azizi , Hassan Khotanlou

COVID19 is a highly contagious disease infected millions of people worldwide. With limited testing components, screening tools such as chest radiography can assist the clinicians in the diagnosis and assessing the progress of disease. The…

Image and Video Processing · Electrical Eng. & Systems 2023-04-11 Zanoby N. Khan

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

The world has suffered from COVID-19 (SARS-CoV-2) for the last two years, causing much damage and change in people's daily lives. Thus, automated detection of COVID-19 utilizing deep learning on chest computed tomography (CT) scans became…

Image and Video Processing · Electrical Eng. & Systems 2022-07-05 Okchul Jung , Dong Un Kang , Gwanghyun Kim , Se Young Chun

In recent years, there has been a notable increase in the level of attention that is given to algorithms based on deep learning in the context of medical image segmentation. Nevertheless, the reliability of the field has been hindered due…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Sarmad Khan , Arslan Shaukat , Umer Asgher , Basim Azam

The COVID-19 disease was first discovered in Wuhan, China, and spread quickly worldwide. After the COVID-19 pandemic, many researchers have begun to identify a way to diagnose the COVID-19 using chest X-ray images. The early diagnosis of…

Image and Video Processing · Electrical Eng. & Systems 2024-10-28 Hamid Nasiri , Ghazal Kheyroddin , Morteza Dorrigiv , Mona Esmaeili , Amir Raeisi Nafchi , Mohsen Haji Ghorbani , Payman Zarkesh-Ha

COVID-19 is a novel virus that attacks the upper respiratory tract and the lungs. Its person-to-person transmissibility is considerably rapid and this has caused serious problems in approximately every facet of individuals lives. While some…

Image and Video Processing · Electrical Eng. & Systems 2022-09-28 Abdolreza Marefat , Mahdieh Marefat , Javad Hasannataj Joloudari , Mohammad Ali Nematollahi , Reza Lashgari

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