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相关论文: A Light CNN for detecting COVID-19 from CT scans o…

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With the spread of COVID-19 around the globe over the past year, the usage of artificial intelligence (AI) algorithms and image processing methods to analyze the X-ray images of patients' chest with COVID-19 has become essential. The…

图像与视频处理 · 电气工程与系统科学 2025-01-16 Xinyuan Song

Coronavirus Disease 2019 (COVID-19) pandemic rapidly spread globally, impacting the lives of billions of people. The effective screening of infected patients is a critical step to struggle with COVID-19, and treating the patients avoiding…

图像与视频处理 · 电气工程与系统科学 2024-12-30 Leonardo Gabriel Ferreira Rodrigues , Danilo Ferreira da Silva , Larissa Ferreira Rodrigues , João Fernando Mari

By the start of 2020, the novel coronavirus disease (COVID-19) has been declared a worldwide pandemic. Because of the severity of this infectious disease, several kinds of research have focused on combatting its ongoing spread. One…

图像与视频处理 · 电气工程与系统科学 2021-05-19 Safa Ben Atitallah , Maha Driss , Wadii Boulila , Henda Ben Ghézala

In a worldwide health crisis as exigent as COVID-19, there has become a pressing need for rapid, reliable diagnostics. Currently, popular testing methods such as reverse transcription polymerase chain reaction (RT-PCR) can have high false…

图像与视频处理 · 电气工程与系统科学 2022-07-15 Justin Liu

Deep learning (DL) analysis of Chest X-ray (CXR) and Computed tomography (CT) images has garnered a lot of attention in recent times due to the COVID-19 pandemic. Convolutional Neural Networks (CNNs) are well suited for the image analysis…

图像与视频处理 · 电气工程与系统科学 2022-12-29 Suba S , Nita Parekh

Automatic and rapid screening of COVID-19 from the chest X-ray images has become an urgent need in this pandemic situation of SARS-CoV-2 worldwide in 2020. However, accurate and reliable screening of patients is a massive challenge due to…

图像与视频处理 · 电气工程与系统科学 2020-06-25 Mahesh Gour , Sweta Jain

Since this COVID-19 pandemic thrives, the utilization of X-Ray images of the Chest (CXR) as a complementary screening technique to RT-PCR testing grows to its clinical use for respiratory complaints. Many new deep learning approaches have…

图像与视频处理 · 电气工程与系统科学 2021-09-07 Md Gulzar Hussain , Ye Shiren

Background and Objective: During pandemics, the use of artificial intelligence (AI) approaches combined with biomedical science play a significant role in reducing the burden on the healthcare systems and physicians. The rapid increment in…

图像与视频处理 · 电气工程与系统科学 2022-05-30 Mansi Gupta , Aman Swaraj , Karan Verma

The coronavirus disease 2019 (COVID-19) pandemic continues to have a tremendous impact on patients and healthcare systems around the world. In the fight against this novel disease, there is a pressing need for rapid and effective screening…

图像与视频处理 · 电气工程与系统科学 2020-09-14 Hayden Gunraj , Linda Wang , Alexander Wong

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

Corona virus or COVID-19 is a pandemic illness, which has influenced more than million of causalities worldwide and infected a few large number of individuals .Innovative instrument empowering quick screening of the COVID-19 contamination…

图像与视频处理 · 电气工程与系统科学 2021-06-01 Dinesh J , Mohammed Rhithick A

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

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

One of the critical tools for early detection and subsequent evaluation of the incidence of lung diseases is chest radiography. This study presents a real-world implementation of a convolutional neural network (CNN) based Carebot Covid app…

图像与视频处理 · 电气工程与系统科学 2022-03-22 Daniel Kvak , Marian Bendik , Anna Chromcova

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 December 2019, the global pandemic COVID-19 in Wuhan, China, affected human life and the worldwide economy. Therefore, an efficient diagnostic system is required to control its spread. However, the automatic diagnostic system poses…

图像与视频处理 · 电气工程与系统科学 2022-09-27 Saddam Hussain Khan

The novel COVID-19 is a global pandemic disease overgrowing worldwide. Computer-aided screening tools with greater sensitivity is imperative for disease diagnosis and prognosis as early as possible. It also can be a helpful tool in triage…

图像与视频处理 · 电气工程与系统科学 2021-04-15 Md. Kamrul Hasan , Md. Tasnim Jawad , Kazi Nasim Imtiaz Hasan , Sajal Basak Partha , Md. Masum Al Masba , Shumit Saha

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

Since the breakout of coronavirus disease (COVID-19), the computer-aided diagnosis has become a necessity to prevent the spread of the virus. Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In…

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
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