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相关论文: Artificial Intelligence applied to chest X-Ray ima…

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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

Background: The COVID-19 pandemic has overwhelmed healthcare systems, emphasizing the need for AI-driven tools to assist in rapid and accurate patient prognosis. Chest X-ray imaging is a widely available diagnostic tool, but existing…

图像与视频处理 · 电气工程与系统科学 2025-03-18 Alfred Simbun , Suresh Kumar

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

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 (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…

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

Amid the coronavirus disease(COVID-19) pandemic, humanity experiences a rapid increase in infection numbers across the world. Challenge hospitals are faced with, in the fight against the virus, is the effective screening of incoming…

图像与视频处理 · 电气工程与系统科学 2020-06-09 Md. Rezaul Karim , Till Döhmen , Dietrich Rebholz-Schuhmann , Stefan Decker , Michael Cochez , Oya Beyan

Confronting the pandemic of COVID-19, is nowadays one of the most prominent challenges of the human species. A key factor in slowing down the virus propagation is the rapid diagnosis and isolation of infected patients. The standard method…

图像与视频处理 · 电气工程与系统科学 2021-04-27 Eduardo Luz , Pedro Lopes Silva , Rodrigo Silva , Ludmila Silva , Gladston Moreira , David Menotti

With a Coronavirus disease (COVID-19) case count exceeding 10 million worldwide, there is an increased need for a diagnostic capability. The main variables in increasing diagnostic capability are reduced cost, turnaround or diagnosis time,…

图像与视频处理 · 电气工程与系统科学 2020-09-21 Hussin K. Ragb , Ian T. Dover , Redha Ali

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

Background and Objective: Artificial intelligence (AI) methods coupled with biomedical analysis has a critical role during pandemics as it helps to release the overwhelming pressure from healthcare systems and physicians. As the ongoing…

图像与视频处理 · 电气工程与系统科学 2022-07-12 Aman Swaraj , Karan Verma

The COVID-19 epidemic has become a major safety and health threat worldwide. Imaging diagnosis is one of the most effective ways to screen COVID-19. This project utilizes several open-source or public datasets to present an open-source…

图像与视频处理 · 电气工程与系统科学 2020-07-21 Yi Zhong

The exponential increase in COVID-19 patients is overwhelming healthcare systems across the world. With limited testing kits, it is impossible for every patient with respiratory illness to be tested using conventional techniques (RT-PCR).…

图像与视频处理 · 电气工程与系统科学 2020-04-22 Arpan Mangal , Surya Kalia , Harish Rajgopal , Krithika Rangarajan , Vinay Namboodiri , Subhashis Banerjee , Chetan Arora

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

Due to the limited availability and high cost of the reverse transcription-polymerase chain reaction (RT-PCR) test, many studies have proposed machine learning techniques for detecting COVID-19 from medical imaging. The purpose of this…

计算机视觉与模式识别 · 计算机科学 2021-08-11 Aishwarza Panday , Muhammad Ashad Kabir , Nihad Karim Chowdhury

COVID-19 is a virus with high transmission rate that demands rapid identification of the infected patients to reduce the spread of the disease. The current gold-standard test, Reverse-Transcription Polymerase Chain Reaction (RT-PCR), has a…

Importance: An artificial intelligence (AI)-based model to predict COVID-19 likelihood from chest x-ray (CXR) findings can serve as an important adjunct to accelerate immediate clinical decision making and improve clinical decision making.…

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

During the COVID-19 pandemic, the sheer volume of imaging performed in an emergency setting for COVID-19 diagnosis has resulted in a wide variability of clinical CXR acquisitions. This variation is seen in the CXR projections used, image…

The outbreak of COVID-19 disease caused more than 100,000 deaths so far in the USA alone. It is necessary to conduct an initial screening of patients with the symptoms of COVID-19 disease to control the spread of the disease. However, it is…

图像与视频处理 · 电气工程与系统科学 2020-10-30 Md Manjurul Ahsan , Kishor Datta Gupta , Mohammad Maminur Islam , Sajib Sen , Md. Lutfar Rahman , Mohammad Shakhawat Hossain
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