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The Coronavirus (COVID-19) outbreak in December 2019 has become an ongoing threat to humans worldwide, creating a health crisis that infected millions of lives, as well as devastating the global economy. Deep learning (DL) techniques have…

图像与视频处理 · 电气工程与系统科学 2023-06-09 Asifullah Khan , Saddam Hussain Khan , Mahrukh Saif , Asiya Batool , Anabia Sohail , Muhammad Waleed Khan

The coronavirus disease, named COVID-19, has become the largest global public health crisis since it started in early 2020. CT imaging has been used as a complementary tool to assist early screening, especially for the rapid identification…

图像与视频处理 · 电气工程与系统科学 2020-05-11 Donglin Di , Feng Shi , Fuhua Yan , Liming Xia , Zhanhao Mo , Zhongxiang Ding , Fei Shan , Shengrui Li , Ying Wei , Ying Shao , Miaofei Han , Yaozong Gao , He Sui , Yue Gao , Dinggang Shen

One of the most serious global health threat is COVID-19 pandemic. The emphasis on improving diagnosis and increasing the diagnostic capability helps stopping its spread significantly. Therefore, to assist the radiologist or other medical…

图像与视频处理 · 电气工程与系统科学 2020-12-07 Khalfalla Awedat , Almabrok Essa

Coronavirus (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The spread of COVID-19 seems to have a detrimental effect on the global economy and health. A positive chest X-ray of infected…

图像与视频处理 · 电气工程与系统科学 2021-03-10 Abdul Waheed , Muskan Goyal , Deepak Gupta , Ashish Khanna , Fadi Al-Turjman , Placido Rogerio Pinheiro

An accurate and efficient forecasting system is imperative to the prevention of emerging infectious diseases such as COVID-19 in public health. This system requires accurate transient modeling, lower computation cost, and fewer observation…

机器学习 · 计算机科学 2021-01-26 Dongdong Wang , Shunpu Zhang , Liqiang Wang

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…

SARS-CoV-2, also known as COVID-19 or Coronavirus, is a viral contagious disease that is infected by a novel coronavirus, and has been rapidly spreading across the globe. It is very important to test and isolate people to reduce spread, and…

图像与视频处理 · 电气工程与系统科学 2021-05-25 Prerak Mann , Sahaj Jain , Saurabh Mittal , Aruna Bhat

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

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

Coronavirus disease 2019 (COVID-19) is one of the most destructive pandemic after millennium, forcing the world to tackle a health crisis. Automated lung infections classification using chest X-ray (CXR) images could strengthen diagnostic…

图像与视频处理 · 电气工程与系统科学 2021-01-11 Jingxiong Li , Yaqi Wang , Shuai Wang , Jun Wang , Jun Liu , Qun Jin , Lingling Sun

Lung diseases such as COVID-19, tuberculosis (TB), and pneumonia continue to be serious global health concerns that affect millions of people worldwide. In medical practice, chest X-ray examinations have emerged as the norm for diagnosing…

图像与视频处理 · 电气工程与系统科学 2023-10-11 Aditya Kulkarni , Guruprasad Parasnis , Harish Balasubramanian , Vansh Jain , Anmol Chokshi , Reena Sonkusare

Across the world's coronavirus disease 2019 (COVID-19) hot spots, the need to streamline patient diagnosis and management has become more pressing than ever. As one of the main imaging tools, chest X-rays (CXRs) are common, fast,…

定量方法 · 定量生物学 2023-06-29 Joseph Paul Cohen , Paul Morrison , Lan Dao , Karsten Roth , Tim Q Duong , Marzyeh Ghassemi

Deep learning has been used to assist in the analysis of medical imaging. One such use is the classification of Computed Tomography (CT) scans when detecting for COVID-19 in subjects. This paper presents Cov3d, a three dimensional…

图像与视频处理 · 电气工程与系统科学 2022-07-26 Robert Turnbull

Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets bearing the risk of…

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

Coronavirus disease 2019 (COVID-19) has spread all over the world for three years, but medical facilities in many areas still aren't adequate. There is a need for rapid COVID-19 diagnosis to identify high-risk patients and maximize the use…

图像与视频处理 · 电气工程与系统科学 2023-04-27 Lin Yang , Shuihua Wang , Yudong Zhang

In this paper, a 3D-RegNet-based neural network is proposed for diagnosing the physical condition of patients with coronavirus (Covid-19) infection. In the application of clinical medicine, lung CT images are utilized by practitioners to…

图像与视频处理 · 电气工程与系统科学 2021-07-12 Haibo Qi , Yuhan Wang , Xinyu Liu

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.…

The current COVID-19 pandemic is now getting contained, albeit at the cost of morethan2.3million human lives. A critical phase in any pandemic is the early detection of cases to develop preventive treatments and strategies. In the case of…

图像与视频处理 · 电气工程与系统科学 2021-04-15 Shehroz S. Khan , Faraz Khoshbakhtian , Ahmed Bilal Ashraf

The COVID-19 pandemic has strained global public health, necessitating accurate diagnosis and intervention to control disease spread and reduce mortality rates. This paper introduces an interpretable deep survival prediction model designed…

计算机视觉与模式识别 · 计算机科学 2024-05-07 Zhusi Zhong , Jie Li , Zhuoqi Ma , Scott Collins , Harrison Bai , Paul Zhang , Terrance Healey , Xinbo Gao , Michael K. Atalay , Zhicheng Jiao

Machine learning methods offer great promise for fast and accurate detection and prognostication of COVID-19 from standard-of-care chest radiographs (CXR) and computed tomography (CT) images. Many articles have been published in 2020…

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