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Background and Objective: During pandemics, the use of artificial intelligence (AI) approaches combined with biomedical science play a significant role in reducing the burden on the healthcare systems and physicians. The rapid increment in…

Image and Video Processing · Electrical Eng. & Systems 2022-05-30 Mansi Gupta , Aman Swaraj , Karan Verma

One of the primary clinical observations for screening the infectious by the novel coronavirus is capturing a chest x-ray image. In most of the patients, a chest x-ray contains abnormalities, such as consolidation, which are the results of…

Image and Video Processing · Electrical Eng. & Systems 2020-07-30 Arman Haghanifar , Mahdiyar Molahasani Majdabadi , Younhee Choi , S. Deivalakshmi , Seokbum Ko

Due to the large accumulation of patients requiring hospitalization, the COVID-19 pandemic disease caused a high overload of health systems, even in developed countries. Deep learning techniques based on medical imaging data can help in the…

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

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

One of the most serious global health threat is COVID-19 pandemic. The emphasis on improving diagnosis and increasing the diagnostic capability helps stopping its spread significantly. Therefore, to assist the radiologist or other medical…

Image and Video Processing · Electrical Eng. & Systems 2020-12-07 Khalfalla Awedat , Almabrok Essa

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

Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of affected patients and heavy labor for doctors, computer-aided diagnosis with machine learning algorithm is…

Image and Video Processing · Electrical Eng. & Systems 2020-10-13 Hengyuan Kang , Liming Xia , Fuhua Yan , Zhibin Wan , Feng Shi , Huan Yuan , Huiting Jiang , Dijia Wu , He Sui , Changqing Zhang , Dinggang Shen

Diagnosis of COVID-19 is necessary to prevent and control the disease. Deep learning methods have been considered a fast and accurate method. In this paper, by the parallel combination of three well-known pre-trained networks, we attempted…

Image and Video Processing · Electrical Eng. & Systems 2022-08-17 Faezeh Amouzegar , Hamid Mirvaziri , Mostafa Ghazizadeh-Ahsaee , Mahdi Shariatzadeh

The novel COVID-19 is a global pandemic disease overgrowing worldwide. Computer-aided screening tools with greater sensitivity is imperative for disease diagnosis and prognosis as early as possible. It also can be a helpful tool in triage…

Image and Video Processing · Electrical Eng. & Systems 2021-04-15 Md. Kamrul Hasan , Md. Tasnim Jawad , Kazi Nasim Imtiaz Hasan , Sajal Basak Partha , Md. Masum Al Masba , Shumit Saha

Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning algorithms for COVID-19 diagnosis over chest X-ray (CXR)…

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

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

In this paper, we have trained several deep convolutional networks with introduced training techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID-19, based on two open-source datasets. Our data contains…

Image and Video Processing · Electrical Eng. & Systems 2021-05-05 Mohammad Rahimzadeh , Abolfazl Attar

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…

The ongoing COVID-19 pandemic has already taken millions of lives and damaged economies across the globe. Most COVID-19 deaths and economic losses are reported from densely crowded cities. It is comprehensible that the effective control and…

Image and Video Processing · Electrical Eng. & Systems 2022-08-04 Zeba Ghaffar , Pir Masoom Shah , Hikmat Khan , Syed Farhan Alam Zaidi , Abdullah Gani , Izaz Ahmad Khan , Munam Ali Shah , Saif ul Islam

The corona virus is already spread around the world in many countries, and it has taken many lives. Furthermore, the world health organization (WHO) has announced that COVID-19 has reached the global epidemic stage. Early and reliable…

Image and Video Processing · Electrical Eng. & Systems 2020-06-29 Abdolkarim Saeedi , Maryam Saeedi , Arash Maghsoudi

In this paper, our focus is on constructing models to assist a clinician in the diagnosis of COVID-19 patients in situations where it is easier and cheaper to obtain X-ray data than to obtain high-quality images like those from CT scans.…

Image and Video Processing · Electrical Eng. & Systems 2021-02-15 Rishab Khincha , Soundarya Krishnan , Tirtharaj Dash , Lovekesh Vig , Ashwin Srinivasan

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

Novel Coronavirus disease (COVID-19) is a highly contagious respiratory infection that has had devastating effects on the world. Recently, new COVID-19 variants are emerging making the situation more challenging and threatening. Evaluation…

Purpose: Coronavirus 2019 (COVID-19), which emerged in Wuhan, China and affected the whole world, has cost the lives of thousands of people. Manual diagnosis is inefficient due to the rapid spread of this virus. For this reason, automatic…

Image and Video Processing · Electrical Eng. & Systems 2020-11-12 Umut Özkaya , Şaban Öztürk , Serkan Budak , Farid Melgani , Kemal Polat