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Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 infection with high…

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…

Image and Video Processing · Electrical Eng. & Systems 2023-10-11 Aditya Kulkarni , Guruprasad Parasnis , Harish Balasubramanian , Vansh Jain , Anmol Chokshi , Reena Sonkusare

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

Early detection of COVID-19 is vital to control its spread. Deep learning methods have been presented to detect suggestive signs of COVID-19 from chest CT images. However, due to the novelty of the disease, annotated volumetric data are…

Image and Video Processing · Electrical Eng. & Systems 2021-11-18 Azael M. Sousa , Fabiano Reis , Rachel Zerbini , João L. D. Comba , Alexandre X. Falcão

Purpose: The need to streamline patient management for COVID-19 has become more pressing than ever. Chest X-rays provide a non-invasive (potentially bedside) tool to monitor the progression of the disease. In this study, we present a…

Image and Video Processing · Electrical Eng. & Systems 2020-07-01 Joseph Paul Cohen , Lan Dao , Paul Morrison , Karsten Roth , Yoshua Bengio , Beiyi Shen , Almas Abbasi , Mahsa Hoshmand-Kochi , Marzyeh Ghassemi , Haifang Li , Tim Q Duong

Coronavirus disease 2019 (COVID-19) has rapidly become a global health concern after its first known detection in December 2019. As a result, accurate and reliable advance warning system for the early diagnosis of COVID-19 has now become a…

Image and Video Processing · Electrical Eng. & Systems 2026-05-06 Mete Ahishali , Aysen Degerli , Mehmet Yamac , Serkan Kiranyaz , Muhammad E. H. Chowdhury , Khalid Hameed , Tahir Hamid , Rashid Mazhar , Moncef Gabbouj

The COVID-19 pandemic strained healthcare resources and prompted discussion about how machine learning can alleviate physician burdens and contribute to diagnosis. Chest x-rays (CXRs) are used for diagnosis of COVID-19, but few studies…

Image and Video Processing · Electrical Eng. & Systems 2025-03-03 Luis Lara , Lucia Eve Berger , Rajesh Raju

The COVID19 pandemic globally and significantly has affected the life and health of many communities. The early detection of infected patients is effective in fighting COVID19. Using radiology (X-Ray) images is perhaps the fastest way to…

Image and Video Processing · Electrical Eng. & Systems 2021-06-01 Wu Chao , Mohammad Khishe , Mokhtar Mohammadi , Sarkhel H. Taher Karim , Tarik A. Rashid

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…

Image and Video Processing · Electrical Eng. & Systems 2021-10-06 Mohammad Saber Iraji , Mohammad-Reza Feizi-Derakhshi , Jafar Tanha

In recent years, deep learning-based image analysis methods have been widely applied in computer-aided detection, diagnosis and prognosis, and has shown its value during the public health crisis of the novel coronavirus disease 2019…

A method of a Convolutional Neural Networks (CNN) for image classification with image preprocessing and hyperparameters tuning was proposed. The method aims at increasing the predictive performance for COVID-19 diagnosis while more complex…

Image and Video Processing · Electrical Eng. & Systems 2023-06-06 Kenan Morani , Devrim Unay

The novel coronavirus disease (COVID-19) constitutes a public health emergency globally. It is a deadly disease which has infected more than 230 million people worldwide. Therefore, early and unswerving detection of COVID-19 is necessary.…

Image and Video Processing · Electrical Eng. & Systems 2022-12-22 Aeyan Ashraf , Asad Malik , Zahid Khan

The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread and has challenged different sectors. One of the most effective ways to limit its spread is the early and accurate diagnosing infected patients. Medical…

We propose a two-stage Convolutional Neural Network (CNN) based classification framework for detecting COVID-19 and Community-Acquired Pneumonia (CAP) using the chest Computed Tomography (CT) scan images. In the first stage, an infection -…

Image and Video Processing · Electrical Eng. & Systems 2021-04-13 Shubham Chaudhary , Sadbhawna , Vinit Jakhetiya , Badri N Subudhi , Ujjwal Baid , Sharath Chandra Guntuku

Chest X-rays (X-ray images) have been proven to be effective for the diagnosis of chest diseases, including Pneumonia, Lung Opacity, and COVID-19. However, relying on traditional medical methods for diagnosis from X-ray images is prone to…

Image and Video Processing · Electrical Eng. & Systems 2025-10-01 Omar Hesham Khater , Abdullahi Sani Shuaib , Sami Ul Haq , Abdul Jabbar Siddiqui

The 2019 novel coronavirus (COVID-19) has spread rapidly all over the world and it is affecting the whole society. The current gold standard test for screening COVID-19 patients is the polymerase chain reaction test. However, the COVID-19…

Image and Video Processing · Electrical Eng. & Systems 2020-05-13 Sampa Misra , Seungwan Jeon , Seiyon Lee , Ravi Managuli , Chulhong Kim

Background: A critical step in effective care and treatment planning for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of the COVID-19 pandemic, is the assessment of the severity of disease progression. Chest…

Image and Video Processing · Electrical Eng. & Systems 2021-04-19 Alexander Wong , Zhong Qiu Lin , Linda Wang , Audrey G. Chung , Beiyi Shen , Almas Abbasi , Mahsa Hoshmand-Kochi , Timothy Q. Duong

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

Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient treatment. Chest X-Ray (CXR) is the first line imaging test for COVID-19 pneumonia diagnosis as it is fast, cheap and easily accessible. Inspired by the…

Image and Video Processing · Electrical Eng. & Systems 2023-02-20 Xin Zhang , Liangxiu Han , Tam Sobeih , Lianghao Han , Nina Dempsey , Symeon Lechareas , Ascanio Tridente , Haoming Chen , Stephen White

Purpose: Considering several patients screened due to COVID-19 pandemic, computer-aided detection has strong potential in assisting clinical workflow efficiency and reducing the incidence of infections among radiologists and healthcare…

Image and Video Processing · Electrical Eng. & Systems 2022-12-20 Guang Li , Ren Togo , Takahiro Ogawa , Miki Haseyama
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