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The COVID-19 epidemic has become a major safety and health threat worldwide. Imaging diagnosis is one of the most effective ways to screen COVID-19. This project utilizes several open-source or public datasets to present an open-source…

图像与视频处理 · 电气工程与系统科学 2020-07-21 Yi Zhong

The coronavirus outbreak became a major concern for society worldwide. Technological innovation and ingenuity are essential to fight COVID-19 pandemic and bring us one step closer to overcome it. Researchers over the world are working…

During the COVID-19 pandemic, the sheer volume of imaging performed in an emergency setting for COVID-19 diagnosis has resulted in a wide variability of clinical CXR acquisitions. This variation is seen in the CXR projections used, image…

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…

图像与视频处理 · 电气工程与系统科学 2020-05-22 Lawrence O. Hall , Rahul Paul , Dmitry B. Goldgof , Gregory M. Goldgof

Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-ray (CXR) image for COVID-19 diagnosis and patient triage is becoming important. Unfortunately, due to the emergent nature of the COVID-19…

图像与视频处理 · 电气工程与系统科学 2020-05-06 Yujin Oh , Sangjoon Park , Jong Chul Ye

Early and reliable COVID-19 diagnosis based on chest 3-D CT scans can assist medical specialists in vital circumstances. Deep learning methodologies constitute a main approach for chest CT scan analysis and disease prediction. However,…

图像与视频处理 · 电气工程与系统科学 2021-06-22 Dimitrios Kollias , Anastasios Arsenos , Levon Soukissian , Stefanos Kollias

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…

图像与视频处理 · 电气工程与系统科学 2024-10-30 Dor Amran , Maayan Frid-Adar , Nimrod Sagie , Jannette Nassar , Asher Kabakovitch , Hayit Greenspan

The COVID-19 crisis has brought about new clinical questions, new workflows, and accelerated distributed healthcare needs. While artificial intelligence (AI)-based clinical decision support seemed to have matured, the application of…

计算机与社会 · 计算机科学 2020-06-08 Mathias Unberath , Kimia Ghobadi , Scott Levin , Jeremiah Hinson , Gregory D Hager

Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 infection with high…

Across the world's coronavirus disease 2019 (COVID-19) hot spots, the need to streamline patient diagnosis and management has become more pressing than ever. As one of the main imaging tools, chest X-rays (CXRs) are common, fast,…

定量方法 · 定量生物学 2023-06-29 Joseph Paul Cohen , Paul Morrison , Lan Dao , Karsten Roth , Tim Q Duong , Marzyeh Ghassemi

In recent months the world has been surprised by the rapid advance of COVID-19. In order to face this disease and minimize its socio-economic impacts, in addition to surveillance and treatment, diagnosis is a crucial procedure. However, the…

图像与视频处理 · 电气工程与系统科学 2020-07-13 Lucas P. Soares , Cesar P. Soares

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…

图像与视频处理 · 电气工程与系统科学 2020-10-13 Ramtin Babaeipour , Elham Azizi , Hassan Khotanlou

In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray (CXR) imaging is playing an important role in the diagnosis and monitoring of patients with COVID-19. Machine learning solutions have been shown to be useful for…

Early screening of patients is a critical issue in order to assess immediate and fast responses against the spread of COVID-19. The use of nasopharyngeal swabs has been considered the most viable approach; however, the result is not…

图像与视频处理 · 电气工程与系统科学 2022-12-29 Carlo Alberto Barbano , Enzo Tartaglione , Claudio Berzovini , Marco Calandri , Marco Grangetto

COVID-19, due to its accelerated spread has brought in the need to use assistive tools for faster diagnosis in addition to typical lab swab testing. Chest X-Rays for COVID cases tend to show changes in the lungs such as ground glass…

图像与视频处理 · 电气工程与系统科学 2020-10-27 Gayathiri Murugamoorthy , Naimul Khan

Artificial Intelligence (AI) has made leapfrogs in development across all the industrial sectors especially when deep learning has been introduced. Deep learning helps to learn the behaviour of an entity through methods of recognising and…

机器学习 · 计算机科学 2021-04-30 Qinghao Ye , Jun Xia , Guang Yang

With increasing number of COVID-19 cases globally, all the countries are ramping up the testing numbers. While the RT-PCR kits are available in sufficient quantity in several countries, others are facing challenges with limited availability…

图像与视频处理 · 电气工程与系统科学 2020-08-10 Aakarsh Malhotra , Surbhi Mittal , Puspita Majumdar , Saheb Chhabra , Kartik Thakral , Mayank Vatsa , Richa Singh , Santanu Chaudhury , Ashwin Pudrod , Anjali Agrawal

The advent of 2019 Coronavirus (COVID-19) has engendered a momentous global health crisis, necessitating the identification of the ailment in individuals through diverse diagnostic modalities. Radiological imaging, particularly the…

图像与视频处理 · 电气工程与系统科学 2023-06-16 Sultan Zavrak

The outbreak of COVID-19 disease caused more than 100,000 deaths so far in the USA alone. It is necessary to conduct an initial screening of patients with the symptoms of COVID-19 disease to control the spread of the disease. However, it is…

图像与视频处理 · 电气工程与系统科学 2020-10-30 Md Manjurul Ahsan , Kishor Datta Gupta , Mohammad Maminur Islam , Sajib Sen , Md. Lutfar Rahman , Mohammad Shakhawat Hossain

This paper explores how well deep learning models trained on chest CT images can diagnose COVID-19 infected people in a fast and automated process. To this end, we adopt advanced deep network architectures and propose a transfer learning…

图像与视频处理 · 电气工程与系统科学 2021-01-19 Hammam Alshazly , Christoph Linse , Erhardt Barth , Thomas Martinetz