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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 2019 novel coronavirus disease (COVID-19), with a starting point in China, has spread rapidly among people living in other countries, and is approaching approximately 34,986,502 cases worldwide according to the statistics of European…

图像与视频处理 · 电气工程与系统科学 2021-08-03 Ali Narin , Ceren Kaya , Ziynet Pamuk

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

Clinicians in the frontline need to assess quickly whether a patient with symptoms indeed has COVID-19 or not. The difficulty of this task is exacerbated in low resource settings that may not have access to biotechnology tests. Furthermore,…

图像与视频处理 · 电气工程与系统科学 2021-08-23 Ali H. Al-Timemy , Rami N. Khushaba , Zahraa M. Mosa , Javier Escudero

Coronaviruses constitute a family of viruses that gives rise to respiratory diseases. As COVID-19 is highly contagious, early diagnosis of COVID-19 is crucial for an effective treatment strategy. However, the RT-PCR test which is considered…

图像与视频处理 · 电气工程与系统科学 2021-09-29 Sheetal Rajpal , Manoj Agarwal , Ankit Rajpal , Navin Lakhyani , Arpita Saggar , Naveen Kumar

In this work we present a method for the detection of radiological findings, their location and differential diagnoses from chest x-rays. Unlike prior works that focus on the detection of few pathologies, we use a hierarchical taxonomy…

The infectious disease caused by novel corona virus (2019-nCoV) has been widely spreading since last year and has shaken the entire world. It has caused an unprecedented effect on daily life, global economy and public health. Hence this…

图像与视频处理 · 电气工程与系统科学 2024-08-28 Alloy Das , Rohit Agarwal , Rituparna Singh , Arindam Chowdhury , Debashis Nandi

In medical practice, the contribution of information technology can be considerable. Most of these practices include the images that medical assistance uses to identify different pathologies of the human body. One of them is X-ray images…

图像与视频处理 · 电气工程与系统科学 2023-01-09 Benbakreti Samir , Said Mwanahija , Benbakreti Soumia , Umut Özkaya

The ongoing global pandemic of Coronavirus Disease 2019 (COVID-19) poses a serious threat to public health and the economy. Rapid and accurate diagnosis of COVID-19 is crucial to prevent the further spread of the disease and reduce its…

图像与视频处理 · 电气工程与系统科学 2021-08-31 Jun Shi , Huite Yi , Shulan Ruan , Zhaohui Wang , Xiaoyu Hao , Hong An , Wei Wei

Coronavirus disease 2019 (COVID-19) is a Public Health Emergency of International Concern infecting more than 40 million people across 188 countries and territories. Chest computed tomography (CT) imaging technique benefits from its high…

图像与视频处理 · 电气工程与系统科学 2021-02-02 Yifan Jiang , Han Chen , David K. Han , Hanseok Ko

COVID19 is a highly contagious disease infected millions of people worldwide. With limited testing components, screening tools such as chest radiography can assist the clinicians in the diagnosis and assessing the progress of disease. The…

图像与视频处理 · 电气工程与系统科学 2023-04-11 Zanoby N. Khan

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

Recent epidemiological data report that worldwide more than 53 million people have been infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease has been spreading very rapidly and few months after the identification of the…

In late 2019 and after COVID-19 pandemic in the world, many researchers and scholars have tried to provide methods for detection of COVID-19 cases. Accordingly, this study focused on identifying COVID-19 cases from chest X-ray images. In…

图像与视频处理 · 电气工程与系统科学 2022-03-29 Hamid Nasiri , Sharif Hasani

Chest X-rays (X-ray images) have been proven to be effective for the diagnosis of chest diseases, including Pneumonia, Lung Opacity, and COVID-19. However, relying on traditional medical methods for diagnosis from X-ray images is prone to…

图像与视频处理 · 电气工程与系统科学 2025-10-01 Omar Hesham Khater , Abdullahi Sani Shuaib , Sami Ul Haq , Abdul Jabbar Siddiqui

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

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 disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 infection with high…

The global outbreak of the Coronavirus 2019 (COVID-19) has overloaded worldwide healthcare systems. Computer-aided diagnosis for COVID-19 fast detection and patient triage is becoming critical. This paper proposes a novel self-knowledge…

图像与视频处理 · 电气工程与系统科学 2022-06-08 Guang Li , Ren Togo , Takahiro Ogawa , Miki Haseyama

Background and Objective The novel Coronavirus also called COVID-19 originated in Wuhan, China in December 2019 and has now spread across the world. It has so far infected around 1.8 million people and claimed approximately 114,698 lives…

图像与视频处理 · 电气工程与系统科学 2020-06-15 Asif Iqbal Khan , Junaid Latief Shah , Mudasir Bhat