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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…

图像与视频处理 · 电气工程与系统科学 2022-05-30 Mansi Gupta , Aman Swaraj , Karan Verma

In here, we introduce a novel approach to enhance the accuracy and efficiency of COVID-19 diagnosis using CT images. Leveraging state-of-the-art Transformer models in computer vision, we employed the base ViT Transformer configured for…

图像与视频处理 · 电气工程与系统科学 2023-11-29 Kenan Morani

In the last few months, the novel COVID19 pandemic has spread all over the world. Due to its easy transmission, developing techniques to accurately and easily identify the presence of COVID19 and distinguish it from other forms of flu and…

图像与视频处理 · 电气工程与系统科学 2020-04-01 Muhammad Farooq , Abdul Hafeez

Purpose: Since the recent COVID-19 outbreak, there has been an avalanche of research papers applying deep learning based image processing to chest radiographs for detection of the disease. To test the performance of the two top models for…

图像与视频处理 · 电气工程与系统科学 2020-06-25 Imon Banerjee , Priyanshu Sinha , Saptarshi Purkayastha , Nazanin Mashhaditafreshi , Amara Tariq , Jiwoong Jeong , Hari Trivedi , Judy W. Gichoya

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…

图像与视频处理 · 电气工程与系统科学 2020-10-01 Nihad Karim Chowdhury , Md. Muhtadir Rahman , Muhammad Ashad Kabir

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…

图像与视频处理 · 电气工程与系统科学 2023-05-31 Ogechukwu Ukwandu , Hanan Hindy , Elochukwu Ukwandu

Coronavirus Disease 2019 (COVID-19) pandemic rapidly spread globally, impacting the lives of billions of people. The effective screening of infected patients is a critical step to struggle with COVID-19, and treating the patients avoiding…

图像与视频处理 · 电气工程与系统科学 2024-12-30 Leonardo Gabriel Ferreira Rodrigues , Danilo Ferreira da Silva , Larissa Ferreira Rodrigues , João Fernando Mari

COVID-19 has adversely affected humans and societies in different aspects. Numerous people have perished due to inaccurate COVID-19 identification and, consequently, a lack of appropriate medical treatment. Numerous solutions based on…

图像与视频处理 · 电气工程与系统科学 2023-09-06 AmirReza BabaAhmadi , Sahar Khalafi , Masoud ShariatPanahi , Moosa Ayati

Medical image classification and segmentation based on deep learning (DL) are emergency research topics for diagnosing variant viruses of the current COVID-19 situation. In COVID-19 computed tomography (CT) images of the lungs, ground glass…

图像与视频处理 · 电气工程与系统科学 2022-08-08 Shiyi Wang , Guang Yang

The objective of this study is to develop a robust deep learning-based framework to distinguish COVID-19, Community-Acquired Pneumonia (CAP), and Normal cases based on chest CT scans acquired in different imaging centers using various…

COVID-19 is a virus with high transmission rate that demands rapid identification of the infected patients to reduce the spread of the disease. The current gold-standard test, Reverse-Transcription Polymerase Chain Reaction (RT-PCR), has a…

Since December of 2019, novel coronavirus disease COVID-19 has spread around the world infecting millions of people and upending the global economy. One of the driving reasons behind its high rate of infection is due to the unreliability…

图像与视频处理 · 电气工程与系统科学 2020-09-23 Alejandro R. Martinez

Because of the rapid spread of COVID-19 to almost every part of the globe, huge volumes of data and case studies have been made available, providing researchers with a unique opportunity to find trends and make discoveries like never…

机器学习 · 计算机科学 2021-10-20 Sarwan Ali , Yijing Zhou , Murray Patterson

The COVID-19 pandemic has profoundly impacted billions globally. It challenges public health and healthcare systems due to its rapid spread and severe respiratory effects. An effective strategy to mitigate the COVID-19 pandemic involves…

计算机视觉与模式识别 · 计算机科学 2025-01-15 Amir Reza Takhsha , Maryam Rastgarpour , Mozhgan Naderi

This paper explores how well deep learning models trained on chest CT images can diagnose COVID-19 infected people in a fast and automated process. To this end, we adopt advanced deep network architectures and propose a transfer learning…

图像与视频处理 · 电气工程与系统科学 2021-01-19 Hammam Alshazly , Christoph Linse , Erhardt Barth , Thomas Martinetz

The COVID-19 pandemic continues to have a devastating effect on the health and well-being of the global population. A critical step in the fight against COVID-19 is effective screening of infected patients, with one of the key screening…

图像与视频处理 · 电气工程与系统科学 2020-05-12 Linda Wang , Alexander Wong

With COVID-19 cases rising rapidly, deep learning has emerged as a promising diagnosis technique. However, identifying the most accurate models to characterize COVID-19 patients is challenging because comparing results obtained with…

图像与视频处理 · 电气工程与系统科学 2021-07-20 Aksh Garg , Sana Salehi , Marianna La Rocca , Rachael Garner , Dominique Duncan

The outbreak of the corona virus disease (COVID-19) has changed the lives of most people on Earth. Given the high prevalence of this disease, its correct diagnosis in order to quarantine patients is of the utmost importance in steps of…

图像与视频处理 · 电气工程与系统科学 2021-04-27 Navid Ghassemi , Afshin Shoeibi , Marjane Khodatars , Jonathan Heras , Alireza Rahimi , Assef Zare , Ram Bilas Pachori , J. Manuel Gorriz

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…

计算机视觉与模式识别 · 计算机科学 2020-04-20 Parnian Afshar , Shahin Heidarian , Farnoosh Naderkhani , Anastasia Oikonomou , Konstantinos N. Plataniotis , Arash Mohammadi

With the periodic rise and fall of COVID-19 and numerous countries being affected by its ramifications, there has been a tremendous amount of work that has been done by scientists, researchers, and doctors all over the world. Prompt…

机器学习 · 计算机科学 2021-12-17 Ismail Shahin , Ali Bou Nassif , Mohamed Bader Alsabek