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相关论文: COVID-19 detection using deep convolutional neural…

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Coronavirus has caused hundreds of thousands of deaths. Fatalities could decrease if every patient could get suitable treatment by the healthcare system. Machine learning, especially computer vision methods based on deep learning, can help…

图像与视频处理 · 电气工程与系统科学 2021-08-27 Parham Yazdekhasty , Ali Zindari , Zahra Nabizadeh-ShahreBabak , Pejman Khadivi , Nader Karimi , Shadrokh Samavi

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

Coronavirus (COVID-19) has shown an unprecedented global crisis by the detrimental effect on the global economy and health. The number of COVID-19 cases has been rapidly increasing, and there is no sign of stopping. It leads to a severe…

密码学与安全 · 计算机科学 2021-10-27 Trang-Thi Ho , Yennun-Huang

Early identification of patients with COVID-19 is essential to enable adequate treatment and to reduce the burden on the health system. The gold standard for COVID-19 detection is the use of RT-PCR tests. However, due to the high demand for…

图像与视频处理 · 电气工程与系统科学 2021-09-07 Felipe André Zeiser , Cristiano André da Costa , Gabriel de Oliveira Ramos , Henrique Bohn , Ismael Santos , Rodrigo da Rosa Righi

During the outbreak of COVID-19 pandemic, several research areas joined efforts to mitigate the damages caused by SARS-CoV-2. In this paper we present an interpretability analysis of a convolutional neural network based model for COVID-19…

Since December of 2019, novel coronavirus disease COVID-19 has spread around the world infecting millions of people and upending the global economy. One of the driving reasons behind its high rate of infection is due to the unreliability…

图像与视频处理 · 电气工程与系统科学 2020-09-23 Alejandro R. Martinez

The new type of coronavirus disease (COVID-19), which started in Wuhan, China in December 2019, continues to spread rapidly affecting the whole world. It is essential to have a highly sensitive diagnostic screening tool to detect the…

图像与视频处理 · 电气工程与系统科学 2020-12-25 Coşku Öksüz , Oğuzhan Urhan , Mehmet Kemal Güllü

Quantitative lung measures derived from computed tomography (CT) have been demonstrated to improve prognostication in coronavirus disease (COVID-19) patients, but are not part of the clinical routine since required manual segmentation of…

The COVID19 pandemic, a unique and devastating respiratory disease outbreak, has affected global populations as the disease spreads rapidly. Recent Deep Learning breakthroughs may improve COVID19 prediction and forecasting as a tool of…

图像与视频处理 · 电气工程与系统科学 2023-10-24 Md Aminul Islam , Shabbir Ahmed Shuvo , Mohammad Abu Tareq Rony , M Raihan , Md Abu Sufian

COVID-19 has adversely affected humans and societies in different aspects. Numerous people have perished due to inaccurate COVID-19 identification and, consequently, a lack of appropriate medical treatment. Numerous solutions based on…

图像与视频处理 · 电气工程与系统科学 2023-09-06 AmirReza BabaAhmadi , Sahar Khalafi , Masoud ShariatPanahi , Moosa Ayati

The novel coronavirus disease 2019 (COVID-19) has been spreading rapidly around the world and caused significant impact on the public health and economy. However, there is still lack of studies on effectively quantifying the lung infection…

图像与视频处理 · 电气工程与系统科学 2020-04-14 Xiaocong Chen , Lina Yao , Yu Zhang

Interpreting chest radiograph, a.ka. chest x-ray, images is a necessary and crucial diagnostic tool used by medical professionals to detect and identify many diseases that may plague a patient. Although the images themselves contain a…

图像与视频处理 · 电气工程与系统科学 2020-07-03 Nikita Albert

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19). Imaging tests such as chest X-ray (CXR) and computed tomography (CT) can provide useful information to clinical staff for facilitating…

图像与视频处理 · 电气工程与系统科学 2023-01-11 Lucy Nwosu , Xiangfang Li , Lijun Qian , Seungchan Kim , Xishuang Dong

Purpose: Considering several patients screened due to COVID-19 pandemic, computer-aided detection has strong potential in assisting clinical workflow efficiency and reducing the incidence of infections among radiologists and healthcare…

图像与视频处理 · 电气工程与系统科学 2022-12-20 Guang Li , Ren Togo , Takahiro Ogawa , Miki Haseyama

Novel Coronavirus disease (COVID-19) is a highly contagious respiratory infection that has had devastating effects on the world. Recently, new COVID-19 variants are emerging making the situation more challenging and threatening. Evaluation…

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

Coronavirus disease 2019 (Covid-19) is highly contagious with limited treatment options. Early and accurate diagnosis of Covid-19 is crucial in reducing the spread of the disease and its accompanied mortality. Currently, detection by…

Currently, Coronavirus disease (COVID-19), one of the most infectious diseases in the 21st century, is diagnosed using RT-PCR testing, CT scans and/or Chest X-Ray (CXR) images. CT (Computed Tomography) scanners and RT-PCR testing are not…

The COVID-19 pandemic is one of the most challenging healthcare crises during the 21st century. As the virus continues to spread on a global scale, the majority of efforts have been on the development of vaccines and the mass immunization…

机器学习 · 计算机科学 2021-09-07 Meysam Effati , Yu-Chen Sun , Hani E. Naguib , Goldie Nejat

This paper addresses the new problem of automated screening of coronavirus disease 2019 (COVID-19) based on chest X-rays, which is urgently demanded toward fast stopping the pandemic. However, robust and accurate screening of COVID-19 from…

图像与视频处理 · 电气工程与系统科学 2020-05-22 Tianyang Li , Zhongyi Han , Benzheng Wei , Yuanjie Zheng , Yanfei Hong , Jinyu Cong