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Artificial intelligence-based analysis of lung ultrasound imaging has been demonstrated as an effective technique for rapid diagnostic decision support throughout the COVID-19 pandemic. However, such techniques can require days- or…

The COVID-19 is sweeping the world with deadly consequences. Its contagious nature and clinical similarity to other pneumonias make separating subjects contracted with COVID-19 and non-COVID-19 viral pneumonia a priority and a challenge.…

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…

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

Chest computed tomography (CT) has played an essential diagnostic role in assessing patients with COVID-19 by showing disease-specific image features such as ground-glass opacity and consolidation. Image segmentation methods have proven to…

图像与视频处理 · 电气工程与系统科学 2021-07-26 Seong Tae Kim , Leili Goli , Magdalini Paschali , Ashkan Khakzar , Matthias Keicher , Tobias Czempiel , Egon Burian , Rickmer Braren , Nassir Navab , Thomas Wendler

Early identification of individuals at elevated risk of Chlamydia trachomatis infection may enable optimal use of molecular testing in resource-aware screening. We evaluate the feasibility of pre-test risk stratification (PTRS) using…

机器学习 · 计算机科学 2026-05-19 Mehrab Mahdian , Marko Lehes , Katrin Krolov , Tamas Pardy

In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray (CXR) imaging is playing an important role in the diagnosis and monitoring of patients with COVID-19. Machine learning solutions have been shown to be useful for…

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

This paper presents a novel lightweight COVID-19 diagnosis framework using CT scans. Our system utilises a novel two-stage approach to generate robust and efficient diagnoses across heterogeneous patient level inputs. We use a powerful…

图像与视频处理 · 电气工程与系统科学 2021-08-29 Harshala Gammulle , Tharindu Fernando , Sridha Sridharan , Simon Denman , Clinton Fookes

Since December of 2019, novel coronavirus disease COVID-19 has spread around the world infecting millions of people and upending the global economy. One of the driving reasons behind its high rate of infection is due to the unreliability…

图像与视频处理 · 电气工程与系统科学 2020-09-23 Alejandro R. Martinez

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 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

Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-ray (CXR) image for COVID-19 diagnosis and patient triage is becoming important. Unfortunately, due to the emergent nature of the COVID-19…

图像与视频处理 · 电气工程与系统科学 2020-05-06 Yujin Oh , Sangjoon Park , Jong Chul Ye

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

The new Coronavirus is spreading rapidly, and it has taken the lives of many people so far. The virus has destructive effects on the human lung, and early detection is very important. Deep Convolution neural networks are such powerful tools…

图像与视频处理 · 电气工程与系统科学 2021-10-06 Mohammad Saber Iraji , Mohammad-Reza Feizi-Derakhshi , Jafar Tanha

The aim of the work is to use deep neural network models for solving the problem of image recognition. These days, every human being is threatened by a harmful coronavirus disease, also called COVID-19 disease. The spread of coronavirus…

机器学习 · 计算机科学 2020-10-12 Samir S. Yadav , Jasminder Kaur Sandhu , Mininath R. Bendre , Pratap S. Vikhe , Amandeep Kaur

The ongoing crisis of the COVID-19 (Coronavirus disease 2019) pandemic has changed the world. According to the World Health Organization (WHO), 4 million people have died due to this disease, whereas there have been more than 180 million…

图像与视频处理 · 电气工程与系统科学 2021-06-29 Juan E. Arco , Andrés Ortiz , Javier Ramírez , Juan M Gorriz

The recent outbreak of COVID-19 has halted the whole world, bringing a devastating effect on public health, global economy, and educational systems. As the vaccine of the virus is still not available, the most effective way to combat the…

图像与视频处理 · 电气工程与系统科学 2020-09-01 A. Q. M. Sazzad Sayyed , Dipayan Saha , Abdul Rakib Hossain

The Coronavirus (COVID-19), which is an infectious pulmonary disorder, has affected millions of people and has been declared as a global pandemic by the WHO. Due to highly contagious nature of COVID-19 and its high possibility of causing…

图像与视频处理 · 电气工程与系统科学 2021-11-02 Hamza Osman Ilhan , Gorkem Serbes , Nizamettin Aydin

Since the onset of the COVID-19 pandemic in 2020, millions of people have succumbed to this deadly virus. Many attempts have been made to devise an automated method of testing that could detect the virus. Various researchers around the…

图像与视频处理 · 电气工程与系统科学 2021-11-11 Samyak Prajapati , Japman Singh Monga , Shaanya Singh , Amrit Raj , Yuvraj Singh Champawat , Chandra Prakash