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相关论文: Detecting COVID-19 from Chest Computed Tomography …

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Early detection of COVID-19 is key in containing the pandemic. Disease detection and evaluation based on imaging is fast and cheap and therefore plays an important role in COVID-19 handling. COVID-19 is easier to detect in chest CT,…

Coronavirus disease (COVID-19) is a contagious infection caused by severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) and it has infected and killed millions of people across the globe. In the absence of specific drugs or vaccines…

图像与视频处理 · 电气工程与系统科学 2022-07-12 Wajid Arshad Abbasi , Syed Ali Abbas , Saiqa Andleeb

The world is still overwhelmed by the spread of the COVID-19 virus. With over 250 Million infected cases as of November 2021 and affecting 219 countries and territories, the world remains in the pandemic period. Detecting COVID-19 using the…

图像与视频处理 · 电气工程与系统科学 2022-10-27 Gargi Desai , Nelly Elsayed , Zag Elsayed , Murat Ozer

Testing for COVID-19 has been unable to keep up with the demand. Further, the false negative rate is projected to be as high as 30% and test results can take some time to obtain. X-ray machines are widely available and provide images for…

图像与视频处理 · 电气工程与系统科学 2020-05-22 Lawrence O. Hall , Rahul Paul , Dmitry B. Goldgof , Gregory M. Goldgof

Background: Chest computed tomography (CT) is recognized as an important tool for COVID-19 severity assessment. As the number of affected patients increase rapidly, manual severity assessment becomes a labor-intensive task, and may lead to…

图像与视频处理 · 电气工程与系统科学 2020-03-28 Zhenyu Tang , Wei Zhao , Xingzhi Xie , Zheng Zhong , Feng Shi , Jun Liu , Dinggang Shen

This paper introduces a paradigm of smartphone application based disease diagnostics that may completely revolutionise the way healthcare services are being provided. Although primarily aimed to assist the problems in rendering the…

图像与视频处理 · 电气工程与系统科学 2020-08-21 Hrithwik Shalu , Harikrishnan P , Akash Das , Megdut Mandal , Harshavardhan M Sali , Juned Kadiwala

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

Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep Learning techniques…

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

The new coronavirus 2019 (COVID-2019) has rapidly become a pandemic and has had a devastating effect on both everyday life, public health and the global economy. It is critical to detect positive cases as early as possible to prevent the…

图像与视频处理 · 电气工程与系统科学 2021-04-13 Carlos Rojas-Azabache , Karen Vilca-Janampa , Renzo Guerrero-Huayta , Dennis Núñez-Fernández

The COVID-19 pandemic has been having a severe and catastrophic effect on humankind and is being considered the most crucial health calamity of the century. One of the best methods of detecting COVID-19 is from radiological images, namely…

图像与视频处理 · 电气工程与系统科学 2020-10-15 Arjun Sarkar , Joerg Vandenhirtz , Jozsef Nagy , David Bacsa , Mitchell Riley

The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid…

图像与视频处理 · 电气工程与系统科学 2025-06-10 Md. Alamin Talukder , Md. Abu Layek , Mohsin Kazi , Md Ashraf Uddin , Sunil Aryal

Chest X-rays have been widely used for COVID-19 screening; however, 3D computed tomography (CT) is a more effective modality. We present our findings on COVID-19 severity prediction from chest CT scans using the STOIC dataset. We developed…

图像与视频处理 · 电气工程与系统科学 2023-05-18 Sidra Aleem , Mayug Maniparambil , Suzanne Little , Noel O'Connor , Kevin McGuinness

The global outbreak of the novel corona virus (COVID-19) disease has drastically impacted the world and led to one of the most challenging crisis across the globe since World War II. The early diagnosis and isolation of COVID-19 positive…

Coronavirus, or COVID-19, is a hazardous disease that has endangered the health of many people around the world by directly affecting the lungs. COVID-19 is a medium-sized, coated virus with a single-stranded RNA, and also has one of the…

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.…

Rapid and affordable methods of testing for COVID-19 infections are essential to reduce infection rates and prevent medical facilities from becoming overwhelmed. Current approaches of detecting COVID-19 require in-person testing with…

Introduction: During the COVID-19 pandemic, computed tomography (CT) was a popular method for diagnosing COVID-19 patients. HRCT (High-Resolution Computed Tomography) is a form of computed tomography that uses advanced methods to improve…

图像与视频处理 · 电气工程与系统科学 2023-12-06 Iraj Abedi , Mahsa Vali , Bentolhoda Otroshi , Maryam Zamanian , Hamidreza Bolhasani

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. It is similar to influenza viruses and raises concerns through alarming levels of spread and severity resulting in an ongoing pandemic…

分布式、并行与集群计算 · 计算机科学 2020-09-01 Adarsh Kumar , Kriti Sharma , Harvinder Singh , Sagar Gupta Naugriya , Sukhpal Singh Gill , Rajkumar Buyya

This paper presents a fully-automated method for the identification of suspicious regions of a coronavirus disease (COVID-19) on chest CT volumes. One major role of chest CT scanning in COVID-19 diagnoses is identification of an…

图像与视频处理 · 电气工程与系统科学 2023-03-28 Ryo Toda , Hayato Itoh , Masahiro Oda , Yuichiro Hayashi , Yoshito Otake , Masahiro Hashimoto , Toshiaki Akashi , Shigeki Aoki , Kensaku Mori

In the current COVID-19 pandemic situation, there is an urgent need to screen infected patients quickly and accurately. Using deep learning models trained on chest X-ray images can become an efficient method for screening COVID-19 patients…

图像与视频处理 · 电气工程与系统科学 2021-03-02 Shruti Jadon