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Timely and rapid diagnoses are core to informing on optimum interventions that curb the spread of COVID-19. The use of medical images such as chest X-rays and CTs has been advocated to supplement the Reverse-Transcription Polymerase Chain…

Image and Video Processing · Electrical Eng. & Systems 2023-05-31 Ogechukwu Ukwandu , Hanan Hindy , Elochukwu Ukwandu

The current COVID-19 pandemic is a serious threat to humanity that directly affects the lungs. Automatic identification of COVID-19 is a challenge for health care officials. The standard gold method for diagnosing COVID-19 is Reverse…

Image and Video Processing · Electrical Eng. & Systems 2022-08-09 Briskline Kiruba S , Petchiammal A , D. Murugan

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…

Image and Video Processing · Electrical Eng. & Systems 2025-01-16 Xinyuan Song

Artificial Intelligence (AI) has made leapfrogs in development across all the industrial sectors especially when deep learning has been introduced. Deep learning helps to learn the behaviour of an entity through methods of recognising and…

Machine Learning · Computer Science 2021-04-30 Qinghao Ye , Jun Xia , Guang Yang

Controlling the COVID-19 pandemic largely hinges upon the existence of fast, safe, and highly-available diagnostic tools. Ultrasound, in contrast to CT or X-Ray, has many practical advantages and can serve as a globally-applicable…

Computer Vision and Pattern Recognition · Computer Science 2021-01-14 Jannis Born , Nina Wiedemann , Gabriel Brändle , Charlotte Buhre , Bastian Rieck , Karsten Borgwardt

With a Coronavirus disease (COVID-19) case count exceeding 10 million worldwide, there is an increased need for a diagnostic capability. The main variables in increasing diagnostic capability are reduced cost, turnaround or diagnosis time,…

Image and Video Processing · Electrical Eng. & Systems 2020-09-21 Hussin K. Ragb , Ian T. Dover , Redha Ali

Computer-aided diagnosis (CAD) systems stand out as potent aids for physicians in identifying the novel Coronavirus Disease 2019 (COVID-19) through medical imaging modalities. In this paper, we showcase the integration and reliable and fast…

Image and Video Processing · Electrical Eng. & Systems 2024-03-13 Demetris Gerogiannis , Anastasios Arsenos , Dimitrios Kollias , Dimitris Nikitopoulos , Stefanos Kollias

Current standard protocols used in the clinic for diagnosing COVID-19 include molecular or antigen tests, generally complemented by a plain chest X-Ray. The combined analysis aims to reduce the significant number of false negatives of these…

Image and Video Processing · Electrical Eng. & Systems 2020-12-01 Julian D. Arias-Londoño , Jorge A. Gomez-Garcia , Laureano Moro-Velazquez , Juan I. Godino-Llorente

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…

Image and Video Processing · Electrical Eng. & Systems 2025-01-29 Suresh Babu Nettur , Shanthi Karpurapu , Unnati Nettur , Likhit Sagar Gajja , Sravanthy Myneni , Akhil Dusi , Lalithya Posham

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…

Image and Video Processing · Electrical Eng. & Systems 2020-10-15 Arjun Sarkar , Joerg Vandenhirtz , Jozsef Nagy , David Bacsa , Mitchell Riley

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…

Artificial Intelligence · Computer Science 2020-12-02 Anitha Kannan , Richard Chen , Vignesh Venkataraman , Geoffrey J. Tso , Xavier Amatriain

This study comprehensively explores knowledge distillation frameworks for COVID-19 and lung cancer classification using chest X-ray (CXR) images. We employ high-capacity teacher models, including VGG19 and lightweight Vision Transformers…

Image and Video Processing · Electrical Eng. & Systems 2025-08-22 Aqib Nazir Mir , Danish Raza Rizvi

Recent work on explainable clustering allows describing clusters when the features are interpretable. However, much modern machine learning focuses on complex data such as images, text, and graphs where deep learning is used but the raw…

Machine Learning · Computer Science 2021-05-26 Hongjing Zhang , Ian Davidson

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…

Image and Video Processing · Electrical Eng. & Systems 2023-05-18 Sidra Aleem , Mayug Maniparambil , Suzanne Little , Noel O'Connor , Kevin McGuinness

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…

Image and Video Processing · Electrical Eng. & Systems 2020-07-03 Nikita Albert

The rapid spread of COVID-19 has necessitated efficient and accurate diagnostic methods. Computed Tomography (CT) scan images have emerged as a valuable tool for detecting the disease. In this article, we present a novel deep learning…

Image and Video Processing · Electrical Eng. & Systems 2023-08-15 Susmita Ghosh , Abhiroop Chatterjee

Coronavirus Disease 2019 (COVID-19) demonstrated the need for accurate and fast diagnosis methods for emergent viral diseases. Soon after the emergence of COVID-19, medical practitioners used X-ray and computed tomography (CT) images of…

Image and Video Processing · Electrical Eng. & Systems 2021-01-22 Weihan Zhang , Bryan Pogorelsky , Mark Loveland , Trevor Wolf

COVID-19, due to its accelerated spread has brought in the need to use assistive tools for faster diagnosis in addition to typical lab swab testing. Chest X-Rays for COVID cases tend to show changes in the lungs such as ground glass…

Image and Video Processing · Electrical Eng. & Systems 2020-10-27 Gayathiri Murugamoorthy , Naimul Khan

Early and reliable COVID-19 diagnosis based on chest 3-D CT scans can assist medical specialists in vital circumstances. Deep learning methodologies constitute a main approach for chest CT scan analysis and disease prediction. However,…

Image and Video Processing · Electrical Eng. & Systems 2021-06-22 Dimitrios Kollias , Anastasios Arsenos , Levon Soukissian , Stefanos Kollias

The recent pandemic has underscored the importance of accurately diagnosing COVID-19 in hospital settings. A major challenge in this regard is differentiating COVID-19 from other respiratory illnesses based on chest X-rays, compounded by…

Image and Video Processing · Electrical Eng. & Systems 2024-01-24 Rittika Adhikari , Christopher Settles