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相关论文: Quickest Detection of COVID-19 Pandemic Onset

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During the course of an epidemic, one of the most challenging tasks for authorities is to decide what kind of restrictive measures to introduce and when these should be enforced. In order to take informed decisions in a fully rational…

The COVID-19 pandemic has had devastating effects on the well-being of the global population. The pandemic has been so prominent partly due to the high infection rate of the virus and its variants. In response, one of the most effective…

图像与视频处理 · 电气工程与系统科学 2021-05-06 Jianxing Zhang , Pengcheng Xi , Ashkan Ebadi , Hilda Azimi , Stephane Tremblay , Alexander Wong

It is well known that the conventional cumulative sum (CUSUM) test suffers from low power and large detection delay. In order to improve the power of the test, we propose two alternative statistics. The backward CUSUM detector considers the…

计量经济学 · 经济学 2022-04-13 Sven Otto , Jörg Breitung

The spread of COVID-19 makes it essential to investigate its prevalence. In such investigation research, as far as we know, the widely-used sampling methods didn't use the information sufficiently about the numbers of the previously…

应用统计 · 统计学 2022-01-04 Ze Liu , Siyu Yi , Jianghu , Dong , Min-Qian Liu , Yongdao Zhou

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…

图像与视频处理 · 电气工程与系统科学 2021-03-02 Shruti Jadon

Timely and rapid diagnoses are core to informing on optimum interventions that curb the spread of COVID-19. The use of medical images such as chest X-rays and CTs has been advocated to supplement the Reverse-Transcription Polymerase Chain…

图像与视频处理 · 电气工程与系统科学 2023-05-31 Ogechukwu Ukwandu , Hanan Hindy , Elochukwu Ukwandu

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

Diagnosis of COVID-19 at point of care is vital to the containment of the global pandemic. Point of care ultrasound (POCUS) provides rapid imagery of lungs to detect COVID-19 in patients in a repeatable and cost effective way. Previous work…

图像与视频处理 · 电气工程与系统科学 2020-12-03 Jay Roberts , Theodoros Tsiligkaridis

The significance of efficient and accurate diagnosis amidst the unique challenges posed by the COVID-19 pandemic underscores the urgency for innovative approaches. In response to these challenges, we propose a transfer learning-based…

图像与视频处理 · 电气工程与系统科学 2023-12-12 Kenan Morani , Esra Kaya Ayana , Devrim Unay

The current COVID-19 pandemic is now getting contained, albeit at the cost of morethan2.3million human lives. A critical phase in any pandemic is the early detection of cases to develop preventive treatments and strategies. In the case of…

图像与视频处理 · 电气工程与系统科学 2021-04-15 Shehroz S. Khan , Faraz Khoshbakhtian , Ahmed Bilal Ashraf

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

Despite the widespread testing protocols for COVID-19, there are still significant challenges in early detection of the disease, which is crucial for preventing its spread and optimizing patient outcomes. Owing to the limited testing…

机器学习 · 计算机科学 2023-12-13 Moyosolu Akinloye

Since the onset of the COVID-19 pandemic in 2020, millions of people have succumbed to this deadly virus. Many attempts have been made to devise an automated method of testing that could detect the virus. Various researchers around the…

图像与视频处理 · 电气工程与系统科学 2021-11-11 Samyak Prajapati , Japman Singh Monga , Shaanya Singh , Amrit Raj , Yuvraj Singh Champawat , Chandra Prakash

The global spread of COVID-19 had severe consequences for public health and the world economy. The quick onset of the pandemic highlighted the potential benefits of cheap and deployable pre-screening methods to monitor the prevalence of the…

声音 · 计算机科学 2023-09-12 Andrej Jovanović , Mario Mihaly , Lennon Donaldson

Recently, the Centers for Disease Control and Prevention (CDC) has worked with other federal agencies to identify counties with increasing coronavirus disease 2019 (COVID-19) incidence (hotspots) and offers support to local health…

Detecting COVID-19 in computed tomography (CT) or radiography images has been proposed as a supplement to the definitive RT-PCR test. We present a deep learning ensemble for detecting COVID-19 infection, combining slice-based (2D) and…

OVID-19 is a world-wide disease that has been declared as a pandemic by the World Health Organization. Computer Tomography (CT) imaging of the chest seems to be a valid diagnosis tool to detect COVID-19 promptly and to control the spread of…

图像与视频处理 · 电气工程与系统科学 2021-04-30 Matteo Polsinelli , Luigi Cinque , Giuseppe Placidi

The COVID-19 pandemic is accompanied by a massive "infodemic" that makes it hard to identify concise and credible information for COVID-19-related questions, like incubation time, infection rates, or the effectiveness of vaccines. As a…

计算与语言 · 计算机科学 2022-04-20 Johannes Graf , Gino Lancho , Patrick Zschech , Kai Heinrich

Patients with the COVID-19 infection may have pneumonia-like symptoms as well as respiratory problems which may harm the lungs. From medical images, coronavirus illness may be accurately identified and predicted using a variety of machine…

计算机视觉与模式识别 · 计算机科学 2023-02-20 Tareque Rahman Ornob , Gourab Roy , Enamul Hassan

With the rapid development of COVID-19 into a global pandemic, there is an ever more urgent need for cheap, fast and reliable tools that can assist physicians in diagnosing COVID-19. Medical imaging such as CT can take a key role in…

图像与视频处理 · 电气工程与系统科学 2021-01-26 Jannis Born , Gabriel Brändle , Manuel Cossio , Marion Disdier , Julie Goulet , Jérémie Roulin , Nina Wiedemann
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