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Since the beginning of the COVID-19 pandemic, researchers have developed deep learning models to classify COVID-19 induced pneumonia. As with many medical imaging tasks, the quality and quantity of the available data is often limited. In…

图像与视频处理 · 电气工程与系统科学 2021-12-15 Daniel Schaudt , Christopher Kloth , Christian Spaete , Andreas Hinteregger , Meinrad Beer , Reinhold von Schwerin

Due to the high mutation rate of the virus, the COVID-19 pandemic evolved rapidly. Certain variants of the virus, such as Delta and Omicron, emerged with altered viral properties leading to severe transmission and death rates. These…

其他定量生物学 · 定量生物学 2023-05-29 Rohitash Chandra , Chaarvi Bansal , Mingyue Kang , Tom Blau , Vinti Agarwal , Pranjal Singh , Laurence O. W. Wilson , Seshadri Vasan

Differing opinions about COVID-19 have led to various online discourses regarding vaccines. Due to the detrimental effects and the scale of the COVID-19 pandemic, detecting vaccine stance has become especially important and is attracting…

社会与信息网络 · 计算机科学 2022-08-10 Anique Tahir , Lu Cheng , Paras Sheth , Huan Liu

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

Deep learning technology can be used as an assistive technology to help doctors quickly and accurately identify COVID-19 infections. Recently, Vision Transformer (ViT) has shown great potential towards image classification due to its global…

图像与视频处理 · 电气工程与系统科学 2022-07-06 Hongyan Xu , Xiu Su , Dadong Wang

The COVID-19 pandemic has presented significant challenges to the healthcare industry and society as a whole. With the rapid development of COVID-19 vaccines, social media platforms have become a popular medium for discussions on…

计算与语言 · 计算机科学 2023-09-14 Ramya Tekumalla , Juan M. Banda

Objectives: To investigate machine-learning classifiers and interpretable models using chest CT for detection of COVID-19 and differentiation from other pneumonias, ILD and normal CTs. Methods: Our retrospective multi-institutional study…

The COVID19 pandemic, a unique and devastating respiratory disease outbreak, has affected global populations as the disease spreads rapidly. Recent Deep Learning breakthroughs may improve COVID19 prediction and forecasting as a tool of…

图像与视频处理 · 电气工程与系统科学 2023-10-24 Md Aminul Islam , Shabbir Ahmed Shuvo , Mohammad Abu Tareq Rony , M Raihan , Md Abu Sufian

Chest imaging plays an essential role in diagnosing and predicting patients with COVID-19 with evidence of worsening respiratory status. Many deep learning-based approaches for pneumonia recognition have been developed to enable…

图像与视频处理 · 电气工程与系统科学 2024-01-17 Shengchao Chen , Sufen Ren , Guanjun Wang , Mengxing Huang , Chenyang Xue

In response to the global COVID-19 pandemic, there has been a critical demand for protective measures, with face masks emerging as a primary safeguard. The approach involves a two-fold strategy: first, recognizing the presence of a face by…

计算机视觉与模式识别 · 计算机科学 2023-11-20 R. Chinnaiyan , Iyyappan M , Al Raiyan Shariff A , Kondaveeti Sai , Mallikarjunaiah B M , P Bharath

The COVID-19 pandemic has led to a global health crisis, highlighting the need for rapid and accurate virus detection. This research paper examines transfer learning with vision transformers for COVID-19 detection, known for its excellent…

图像与视频处理 · 电气工程与系统科学 2023-07-19 Sandeep Angara , Sharath Thirunagaru

Background Advances in machine learning (ML) models have increased the capability of researchers to detect vaccine hesitancy in social media using Natural Language Processing (NLP). A considerable volume of research has identified the…

计算与语言 · 计算机科学 2025-03-25 Lorena G Barberia , Belinda Lombard , Norton Trevisan Roman , Tatiane C. M. Sousa

The emergence of COVID-19 has necessitated many efforts by the scientific community for its proper management. An urgent clinical reaction is required in the face of the unending devastation being caused by the pandemic. These efforts…

机器学习 · 计算机科学 2020-12-14 Parsa Sarosh , Shabir A. Parah , Romany F Mansur , G. M. Bhat

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

This technical report proposes the use of a deep convolutional neural network as a preliminary diagnostic method in the analysis of chest computed tomography images from patients with symptoms of Severe Acute Respiratory Syndrome (SARS) and…

图像与视频处理 · 电气工程与系统科学 2022-08-24 Victor Felipe Reis-Silva

Early detection of COVID-19 is crucial for effective treatment and controlling its spread. This study proposes a novel hybrid deep learning model for detecting COVID-19 from CT scan images, designed to assist overburdened medical…

图像与视频处理 · 电气工程与系统科学 2025-01-29 Suresh Babu Nettur , Shanthi Karpurapu , Unnati Nettur , Likhit Sagar Gajja , Sravanthy Myneni , Akhil Dusi , Lalithya Posham

The early and reliable detection of COVID-19 infected patients is essential to prevent and limit its outbreak. The PCR tests for COVID-19 detection are not available in many countries and also there are genuine concerns about their…

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

The coronavirus outbreak became a major concern for society worldwide. Technological innovation and ingenuity are essential to fight COVID-19 pandemic and bring us one step closer to overcome it. Researchers over the world are working…

The COVID-19 pandemic has magnified an already existing trend of people looking for healthcare solutions online. One class of solutions are symptom checkers, which have become very popular in the context of COVID-19. Traditional symptom…

人工智能 · 计算机科学 2020-12-02 Anitha Kannan , Richard Chen , Vignesh Venkataraman , Geoffrey J. Tso , Xavier Amatriain