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COVID-19 quickly became a global pandemic after only four months of its first detection. It is crucial to detect this disease as soon as possible to decrease its spread. The use of chest X-ray (CXR) images became an effective screening…

图像与视频处理 · 电气工程与系统科学 2022-05-10 Fabricio Breve

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…

图像与视频处理 · 电气工程与系统科学 2022-07-12 Wajid Arshad Abbasi , Syed Ali Abbas , Saiqa Andleeb

The aim of the work is to use deep neural network models for solving the problem of image recognition. These days, every human being is threatened by a harmful coronavirus disease, also called COVID-19 disease. The spread of coronavirus…

机器学习 · 计算机科学 2020-10-12 Samir S. Yadav , Jasminder Kaur Sandhu , Mininath R. Bendre , Pratap S. Vikhe , Amandeep Kaur

Confronting the pandemic of COVID-19, is nowadays one of the most prominent challenges of the human species. A key factor in slowing down the virus propagation is the rapid diagnosis and isolation of infected patients. The standard method…

图像与视频处理 · 电气工程与系统科学 2021-04-27 Eduardo Luz , Pedro Lopes Silva , Rodrigo Silva , Ludmila Silva , Gladston Moreira , David Menotti

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

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.…

图像与视频处理 · 电气工程与系统科学 2020-12-18 Saddam Hussain Khan , Anabia Sohail , Asifullah Khan

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.…

The novel corona-virus disease (COVID-19) pandemic has caused a major outbreak in more than 200 countries around the world, leading to a severe impact on the health and life of many people globally. As of mid-July 2020, more than 12 million…

图像与视频处理 · 电气工程与系统科学 2020-08-10 Narges Saeedizadeh , Shervin Minaee , Rahele Kafieh , Shakib Yazdani , Milan Sonka

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…

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…

The corona virus is already spread around the world in many countries, and it has taken many lives. Furthermore, the world health organization (WHO) has announced that COVID-19 has reached the global epidemic stage. Early and reliable…

图像与视频处理 · 电气工程与系统科学 2020-06-29 Abdolkarim Saeedi , Maryam Saeedi , Arash Maghsoudi

With the ever increasing demand for screening millions of prospective "novel coronavirus" or COVID-19 cases, and due to the emergence of high false negatives in the commonly used PCR tests, the necessity for probing an alternative simple…

图像与视频处理 · 电气工程与系统科学 2020-08-25 Sanhita Basu , Sushmita Mitra , Nilanjan Saha

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

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

The global ramifications of the COVID-19 pandemic remain significant, exerting persistent pressure on nations even three years after its initial outbreak. Deep learning models have shown promise in improving COVID-19 diagnostics but require…

图像与视频处理 · 电气工程与系统科学 2023-11-30 Yifan Wu , Hayden Gunraj , Chi-en Amy Tai , Alexander Wong

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

Coronavirus disease 2019 (COVID-19) has been the main agenda of the whole world, since it came into sight in December 2019 as it has significantly affected the world economy and healthcare system. Given the effects of COVID-19 on pulmonary…

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…

图像与视频处理 · 电气工程与系统科学 2022-09-28 Abdolreza Marefat , Mahdieh Marefat , Javad Hasannataj Joloudari , Mohammad Ali Nematollahi , Reza Lashgari

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 possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community. In this study we provide insights and also raise…

图像与视频处理 · 电气工程与系统科学 2020-10-20 Enzo Tartaglione , Carlo Alberto Barbano , Claudio Berzovini , Marco Calandri , Marco Grangetto