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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 ongoing COVID-19 pandemic has already taken millions of lives and damaged economies across the globe. Most COVID-19 deaths and economic losses are reported from densely crowded cities. It is comprehensible that the effective control and…

图像与视频处理 · 电气工程与系统科学 2022-08-04 Zeba Ghaffar , Pir Masoom Shah , Hikmat Khan , Syed Farhan Alam Zaidi , Abdullah Gani , Izaz Ahmad Khan , Munam Ali Shah , Saif ul Islam

As the rapid spread of coronavirus disease (COVID-19) worldwide, chest X-ray radiography has also been used to detect COVID-19 infected pneumonia and assess its severity or monitor its prognosis in the hospitals due to its low cost, low…

图像与视频处理 · 电气工程与系统科学 2020-09-29 Morteza Heidari , Seyedehnafiseh Mirniaharikandehei , Abolfazl Zargari Khuzani , Gopichandh Danala , Yuchen Qiu , Bin Zheng

Coronavirus (COVID-19) emerged towards the end of 2019. World Health Organization (WHO) was identified it as a global epidemic. Consensus occurred in the opinion that using Computerized Tomography (CT) techniques for early diagnosis of…

图像与视频处理 · 电气工程与系统科学 2020-04-09 Umut Ozkaya , Saban Ozturk , Mucahid Barstugan

The Coronavirus Disease 2019 (COVID-19) is affecting increasingly large number of people worldwide, posing significant stress to the health care systems. Early and accurate diagnosis of COVID-19 is critical in screening of infected patients…

图像与视频处理 · 电气工程与系统科学 2020-10-28 Jianjia Zhang

The early and reliable detection of COVID-19 infected patients is essential to prevent and limit its outbreak. The PCR tests for COVID-19 detection are not available in many countries and also there are genuine concerns about their…

The current pandemic, caused by the outbreak of a novel coronavirus (COVID-19) in December 2019, has led to a global emergency that has significantly impacted economies, healthcare systems and personal wellbeing all around the world.…

图像与视频处理 · 电气工程与系统科学 2021-01-19 Xiaocong Chen , Lina Yao , Tao Zhou , Jinming Dong , Yu Zhang

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…

The new coronavirus has caused more than one million deaths and continues to spread rapidly. This virus targets the lungs, causing respiratory distress which can be mild or severe. The X-ray or computed tomography (CT) images of lungs can…

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 novel corona virus (Covid-19) has introduced significant challenges due to its rapid spreading nature through respiratory transmission. As a result, there is a huge demand for Artificial Intelligence (AI) based quick disease diagnosis…

图像与视频处理 · 电气工程与系统科学 2021-05-24 Thosini Bamunu Mudiyanselage , Nipuna Senanayake , Chunyan Ji , Yi Pan , Yanqing Zhang

The Coronavirus (COVID-19), which is an infectious pulmonary disorder, has affected millions of people and has been declared as a global pandemic by the WHO. Due to highly contagious nature of COVID-19 and its high possibility of causing…

图像与视频处理 · 电气工程与系统科学 2021-11-02 Hamza Osman Ilhan , Gorkem Serbes , Nizamettin Aydin

A method of a Convolutional Neural Networks (CNN) for image classification with image preprocessing and hyperparameters tuning was proposed. The method aims at increasing the predictive performance for COVID-19 diagnosis while more complex…

图像与视频处理 · 电气工程与系统科学 2023-06-06 Kenan Morani , Devrim Unay

Computed tomography (CT) and chest X-ray (CXR) have been the two dominant imaging modalities deployed for improved management of Coronavirus disease 2019 (COVID-19). Due to faster imaging, less radiation exposure, and being cost-effective…

图像与视频处理 · 电气工程与系统科学 2021-12-21 Xiao Qi , John L. Nosher , David J. Foran , Ilker Hacihaliloglu

Coronavirus is a large virus family consisting of diverse viruses, some of which disseminate among mammals and others cause sickness among humans. COVID-19 is highly contagious and is rapidly spreading, rendering its early diagnosis of…

图像与视频处理 · 电气工程与系统科学 2021-07-07 Peeyush Kumar , Ayushe Gangal , Sunita Kumari

COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus is highly desired. Convolutional neural networks (CNNs) have shown outstanding classification performance on image datasets. To date, it appears that…

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

The COVID-19 (coronavirus) is an ongoing pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus was first identified in mid-December 2019 in the Hubei province of Wuhan, China and by now has spread…

图像与视频处理 · 电气工程与系统科学 2022-01-26 Aditya Saxena , Shamsheer Pal Singh

The new Coronavirus is spreading rapidly, and it has taken the lives of many people so far. The virus has destructive effects on the human lung, and early detection is very important. Deep Convolution neural networks are such powerful tools…

图像与视频处理 · 电气工程与系统科学 2021-10-06 Mohammad Saber Iraji , Mohammad-Reza Feizi-Derakhshi , Jafar Tanha

One of the primary clinical observations for screening the infectious by the novel coronavirus is capturing a chest x-ray image. In most of the patients, a chest x-ray contains abnormalities, such as consolidation, which are the results of…

图像与视频处理 · 电气工程与系统科学 2020-07-30 Arman Haghanifar , Mahdiyar Molahasani Majdabadi , Younhee Choi , S. Deivalakshmi , Seokbum Ko