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Related papers: Study of Vision Transformers for Covid-19 Detectio…

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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

Vision Transformers (ViTs) have shown strong empirical performance on high-dimensional medical imaging data, yet their behavior under survival objectives and the interpretability of their attention mechanisms remain poorly understood. Under…

Medical Physics · Physics 2026-04-24 Qiyuan Shi , Yi Li

AI plays an important role in COVID-19 identification. Computer vision and deep learning techniques can assist in determining COVID-19 infection with Chest X-ray Images. However, for the protection and respect of the privacy of patients,…

Image and Video Processing · Electrical Eng. & Systems 2020-07-14 Boyi Liu , Bingjie Yan , Yize Zhou , Yifan Yang , Yixian Zhang

Novel Coronavirus disease (COVID-19) has abruptly and undoubtedly changed the world as we know it at the end of the 2nd decade of the 21st century. COVID-19 is extremely contagious and quickly spreading globally making its early diagnosis…

Computer Vision and Pattern Recognition · Computer Science 2020-04-20 Parnian Afshar , Shahin Heidarian , Farnoosh Naderkhani , Anastasia Oikonomou , Konstantinos N. Plataniotis , Arash Mohammadi

Machine learning methods offer great promise for fast and accurate detection and prognostication of COVID-19 from standard-of-care chest radiographs (CXR) and computed tomography (CT) images. Many articles have been published in 2020…

This paper proposed an ensemble of deep convolutional neural networks (CNN) based on EfficientNet, named ECOVNet, to detect COVID-19 using a large chest X-ray data set. At first, the open-access large chest X-ray collection is augmented,…

Image and Video Processing · Electrical Eng. & Systems 2021-05-27 Nihad Karim Chowdhury , Muhammad Ashad Kabir , Md. Muhtadir Rahman , Noortaz Rezoana

One of the main challenges in times of sanitary emergency is to quickly develop computer aided diagnosis systems with a limited number of available samples due to the novelty, complexity of the case and the urgency of its implementation.…

Image and Video Processing · Electrical Eng. & Systems 2021-03-09 Plácido L Vidal , Joaquim de Moura , Jorge Novo , Marcos Ortega

This paper proposes transferred initialization with modified fully connected layers for COVID-19 diagnosis. Convolutional neural networks (CNN) achieved a remarkable result in image classification. However, training a high-performing model…

The infectious disease caused by novel corona virus (2019-nCoV) has been widely spreading since last year and has shaken the entire world. It has caused an unprecedented effect on daily life, global economy and public health. Hence this…

Image and Video Processing · Electrical Eng. & Systems 2024-08-28 Alloy Das , Rohit Agarwal , Rituparna Singh , Arindam Chowdhury , Debashis Nandi

COVID-19 (Coronavirus disease 2019) has been quickly spreading since its outbreak, impacting financial markets and healthcare systems globally. Countries all around the world have adopted a number of extraordinary steps to restrict the…

Image and Video Processing · Electrical Eng. & Systems 2023-02-16 Song Wu , Yazhou Ren , Aodi Yang , Xinyue Chen , Xiaorong Pu , Jing He , Liqiang Nie , Philip S. Yu

COVID-19 is currently one the most life-threatening problems around the world. The fast and accurate detection of the COVID-19 infection is essential to identify, take better decisions and ensure treatment for the patients which will help…

Image and Video Processing · Electrical Eng. & Systems 2020-04-21 Md Zahangir Alom , M M Shaifur Rahman , Mst Shamima Nasrin , Tarek M. Taha , Vijayan K. Asari

Significant work has been done towards deep learning (DL) models for automatic lung and lesion segmentation and classification of COVID-19 on chest CT data. However, comprehensive visualization systems focused on supporting the dual…

Image and Video Processing · Electrical Eng. & Systems 2021-08-29 Shreeraj Jadhav , Gaofeng Deng , Marlene Zawin , Arie E. Kaufman

The world is currently experiencing an ongoing pandemic of an infectious disease named coronavirus disease 2019 (i.e., COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Computed Tomography (CT)…

Image and Video Processing · Electrical Eng. & Systems 2021-12-10 Qinghao Ye , Yuan Gao , Weiping Ding , Zhangming Niu , Chengjia Wang , Yinghui Jiang , Minhao Wang , Evandro Fei Fang , Wade Menpes-Smith , Jun Xia , Guang Yang

COVID-19 (also known as 2019 Novel Coronavirus) first emerged in Wuhan, China and spread across the globe with unprecedented effect and has now become the greatest crisis of the modern era. The COVID-19 has proved much more pervasive…

Image and Video Processing · Electrical Eng. & Systems 2020-04-02 Halgurd S. Maghdid , Aras T. Asaad , Kayhan Zrar Ghafoor , Ali Safaa Sadiq , Muhammad Khurram Khan

The brain is a highly complex organ that manages many important tasks, including movement, memory and thinking. Brain-related conditions, like tumors and degenerative disorders, can be hard to diagnose and treat. Magnetic Resonance Imaging…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Shuvashis Sarker , Shamim Rahim Refat , Faika Fairuj Preotee , Shifat Islam , Tashreef Muhammad , Mohammad Ashraful Hoque

In this work, we investigate the performance across multiple classification models to classify chest X-ray images into four categories of COVID-19, pneumonia, tuberculosis (TB), and normal cases. We leveraged transfer learning techniques…

Image and Video Processing · Electrical Eng. & Systems 2025-05-29 Alanna Hazlett , Naomi Ohashi , Timothy Rodriguez , Sodiq Adewole

After more than two years since the beginning of the COVID-19 pandemic, the pressure of this crisis continues to devastate globally. The use of chest X-ray (CXR) imaging as a complementary screening strategy to RT-PCR testing is not only…

Image and Video Processing · Electrical Eng. & Systems 2022-11-22 Maya Pavlova , Tia Tuinstra , Hossein Aboutalebi , Andy Zhao , Hayden Gunraj , Alexander Wong

COVID-19 is extremely contagious and its rapid growth has drawn attention towards its early diagnosis. Early diagnosis of COVID-19 enables healthcare professionals and government authorities to break the chain of transition and flatten the…

Image and Video Processing · Electrical Eng. & Systems 2024-11-19 Sumera Rounaq , Shahid Munir Shah , Mahmoud Aljawarneh

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

The COVID-19 pandemic continues to severely undermine the prosperity of the global health system. To combat this pandemic, effective screening techniques for infected patients are indispensable. There is no doubt that the use of chest X-ray…

Image and Video Processing · Electrical Eng. & Systems 2020-10-01 Nihad Karim Chowdhury , Md. Muhtadir Rahman , Muhammad Ashad Kabir