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相关论文: Accelerating COVID-19 Differential Diagnosis with …

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The advent of 2019 Coronavirus (COVID-19) has engendered a momentous global health crisis, necessitating the identification of the ailment in individuals through diverse diagnostic modalities. Radiological imaging, particularly the…

图像与视频处理 · 电气工程与系统科学 2023-06-16 Sultan Zavrak

AI plays an important role in COVID-19 identification. Computer vision and deep learning techniques can assist in determining COVID-19 infection with Chest X-ray Images. However, for the protection and respect of the privacy of patients,…

图像与视频处理 · 电气工程与系统科学 2020-07-14 Boyi Liu , Bingjie Yan , Yize Zhou , Yifan Yang , Yixian Zhang

The COVID-19 pandemic has affected the world unevenly; while industrial economies have been able to produce the tests necessary to track the spread of the virus and mostly avoided complete lockdowns, developing countries have faced issues…

声音 · 计算机科学 2021-01-01 Björn W. Schuller , Harry Coppock , Alexander Gaskell

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

Recent research on COVID-19 suggests that CT imaging provides useful information to assess disease progression and assist diagnosis, in addition to help understanding the disease. There is an increasing number of studies that propose to use…

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…

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

The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, raising the need to develop novel tools to provide rapid and cost-effective screening and diagnosis. Clinical reports indicated that COVID-19 infection…

图像与视频处理 · 电气工程与系统科学 2023-01-11 Thao Nguyen , Hieu H. Pham , Huy Khiem Le , Anh Tu Nguyen , Ngoc Tien Thanh , Cuong Do

The COVID-19 pandemic continues to rage on, with multiple waves causing substantial harm to health and economies around the world. Motivated by the use of CT imaging at clinical institutes around the world as an effective complementary…

图像与视频处理 · 电气工程与系统科学 2021-01-27 Hayden Gunraj , Ali Sabri , David Koff , Alexander Wong

Respiratory diseases kill million of people each year. Diagnosis of these pathologies is a manual, time-consuming process that has inter and intra-observer variability, delaying diagnosis and treatment. The recent COVID-19 pandemic has…

图像与视频处理 · 电气工程与系统科学 2020-12-01 Juan E. Arco , A. Ortiz , J. Ramirez , F. J. Martinez-Murcia , Yu-Dong Zhang , Juan M. Gorriz

The Covid-19 pandemic has been one of the most devastating events in recent history, claiming the lives of more than 5 million people worldwide. Even with the worldwide distribution of vaccines, there is an apparent need for affordable,…

In this work, CT-xCOV, an explainable framework for COVID-19 diagnosis using Deep Learning (DL) on CT-scans is developed. CT-xCOV adopts an end-to-end approach from lung segmentation to COVID-19 detection and explanations of the detection…

图像与视频处理 · 电气工程与系统科学 2023-11-27 Ismail Elbouknify , Afaf Bouhoute , Khalid Fardousse , Ismail Berrada , Abdelmajid Badri

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

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) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning algorithms for COVID-19 diagnosis over chest X-ray (CXR)…

图像与视频处理 · 电气工程与系统科学 2025-01-27 Aysen Degerli , Mete Ahishali , Serkan Kiranyaz , Muhammad E. H. Chowdhury , Moncef Gabbouj

Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help detect infections early and assess the disease progression. Especially, automated severity assessment of COVID-19 in CT images plays an essential role in…

图像与视频处理 · 电气工程与系统科学 2020-05-26 Kelei He , Wei Zhao , Xingzhi Xie , Wen Ji , Mingxia Liu , Zhenyu Tang , Feng Shi , Yang Gao , Jun Liu , Junfeng Zhang , Dinggang Shen

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

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

Novel Coronavirus disease (COVID-19) has abruptly and undoubtedly changed the world as we know it at the end of the 2nd decade of the 21st century. COVID-19 is extremely contagious and quickly spreading globally making its early diagnosis…

计算机视觉与模式识别 · 计算机科学 2020-04-20 Parnian Afshar , Shahin Heidarian , Farnoosh Naderkhani , Anastasia Oikonomou , Konstantinos N. Plataniotis , Arash Mohammadi

We introduce a comprehensive screening platform for the COVID-19 (a.k.a., SARS-CoV-2) pneumonia. The proposed AI-based system works on chest x-ray (CXR) images to predict whether a patient is infected with the COVID-19 disease. Although the…