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Related papers: Hyperparameter Optimization for COVID-19 Chest X-R…

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Coronavirus disease 2019 (COVID-19) is one of the most destructive pandemic after millennium, forcing the world to tackle a health crisis. Automated lung infections classification using chest X-ray (CXR) images could strengthen diagnostic…

Image and Video Processing · Electrical Eng. & Systems 2021-01-11 Jingxiong Li , Yaqi Wang , Shuai Wang , Jun Wang , Jun Liu , Qun Jin , Lingling Sun

COVID-19 is an infectious disease that causes respiratory problems similar to those caused by SARS-CoV (2003). Currently, swab samples are being used for its diagnosis. The most common testing method used is the RT-PCR method, which has…

Image and Video Processing · Electrical Eng. & Systems 2020-06-25 Rohit Lokwani , Ashrika Gaikwad , Viraj Kulkarni , Aniruddha Pant , Amit Kharat

Background: The COVID-19 pandemic has overwhelmed healthcare systems, emphasizing the need for AI-driven tools to assist in rapid and accurate patient prognosis. Chest X-ray imaging is a widely available diagnostic tool, but existing…

Image and Video Processing · Electrical Eng. & Systems 2025-03-18 Alfred Simbun , Suresh Kumar

We found that the real time reverse transcription-polymerase chain reaction (RT-PCR) detection of viral RNA from sputum or nasopharyngeal swab has a relatively low positive rate in the early stage to determine COVID-19 (named by the World…

Purpose: Rapid and reliable diagnostic tools are crucial for managing respiratory diseases like COVID-19, where chest X-ray analysis coupled with artificial intelligence techniques has proven invaluable. However, most existing works on…

Computer Vision and Pattern Recognition · Computer Science 2026-04-30 Aman Swaraj , Arnav Agarwal , Hitendra Singh Bhadouria , Sandeep Kumar , Karan Verma

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

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…

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

Coronavirus (COVID-19) has shown an unprecedented global crisis by the detrimental effect on the global economy and health. The number of COVID-19 cases has been rapidly increasing, and there is no sign of stopping. It leads to a severe…

Cryptography and Security · Computer Science 2021-10-27 Trang-Thi Ho , Yennun-Huang

Background and Purpose: Coronaviruses (CoV) are perilous viruses that may cause Severe Acute Respiratory Syndrome (SARS-CoV), Middle East Respiratory Syndrome (MERS-CoV). The novel 2019 Coronavirus disease (COVID-19) was discovered as a…

Image and Video Processing · Electrical Eng. & Systems 2020-03-26 Ezz El-Din Hemdan , Marwa A. Shouman , Mohamed Esmail Karar

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

Machine learning based methods for diagnosis and progression prediction of COVID-19 from imaging data have gained significant attention in the last months, in particular by the use of deep learning models. In this context hundreds of models…

Image and Video Processing · Electrical Eng. & Systems 2020-08-27 Beatriz Garcia Santa Cruz , Jan Sölter , Matias Nicolas Bossa , Andreas Dominik Husch

Deep learning (DL) is being increasingly utilized in healthcare-related fields due to its outstanding efficiency. However, we have to keep the individual health data used by DL models private and secure. Protecting data and preserving the…

Image and Video Processing · Electrical Eng. & Systems 2022-03-16 Wadii Boulila , Adel Ammar , Bilel Benjdira , Anis Koubaa

As the COVID-19 pandemic continues to devastate globally, the use of chest X-ray (CXR) imaging as a complimentary screening strategy to RT-PCR testing continues to grow given its routine clinical use for respiratory complaint. As part of…

Image and Video Processing · Electrical Eng. & Systems 2021-05-17 Maya Pavlova , Naomi Terhljan , Audrey G. Chung , Andy Zhao , Siddharth Surana , Hossein Aboutalebi , Hayden Gunraj , Ali Sabri , Amer Alaref , Alexander Wong

In 2019, the entire world is facing a situation of health emergency due to a newly emerged coronavirus (COVID-19). Almost 196 countries are affected by covid-19, while USA, Italy, China, Spain, Iran, and France have the maximum active cases…

Image and Video Processing · Electrical Eng. & Systems 2020-04-14 Muhammad Ilyas , Hina Rehman , Amine Nait-ali

Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets bearing the risk of…

Image and Video Processing · Electrical Eng. & Systems 2025-01-27 Aysen Degerli , Serkan Kiranyaz , Muhammad E. H. Chowdhury , Moncef Gabbouj

The contagious and pandemic COVID-19 disease is currently considered as the main health concern and posed widespread panic across human-beings. It affects the human respiratory tract and lungs intensely. So that it has imposed significant…

Image and Video Processing · Electrical Eng. & Systems 2023-12-21 Vida Esmaeili , Mahmood Mohassel Feghhi , Seyed Omid Shahdi

Problem: Detecting COVID-19 from chest X-Ray (CXR) images has become one of the fastest and easiest methods for detecting COVID-19. However, the existing methods usually use supervised transfer learning from natural images as a pretraining…

Image and Video Processing · Electrical Eng. & Systems 2023-03-31 Guang Li , Ren Togo , Takahiro Ogawa , Miki Haseyama

The outbreak of the SARS-CoV-2 pandemic has put healthcare systems worldwide to their limits, resulting in increased waiting time for diagnosis and required medical assistance. With chest radiographs (CXR) being one of the most common…

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