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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…

图像与视频处理 · 电气工程与系统科学 2021-10-06 Mohammad Saber Iraji , Mohammad-Reza Feizi-Derakhshi , Jafar Tanha

Automatic and rapid screening of COVID-19 from the chest X-ray images has become an urgent need in this pandemic situation of SARS-CoV-2 worldwide in 2020. However, accurate and reliable screening of patients is a massive challenge due to…

图像与视频处理 · 电气工程与系统科学 2020-06-25 Mahesh Gour , Sweta Jain

In this paper, we present a hybrid deep learning framework named CTNet which combines convolutional neural network and transformer together for the detection of COVID-19 via 3D chest CT images. It consists of a CNN feature extractor module…

图像与视频处理 · 电气工程与系统科学 2021-07-12 Shuang Liang

During the COVID-19 pandemic, medical imaging techniques like computed tomography (CT) scans have demonstrated effectiveness in combating the rapid spread of the virus. Therefore, it is crucial to conduct research on computerized models for…

图像与视频处理 · 电气工程与系统科学 2025-06-24 Basma Jumaa Saleh , Zaid Omar , Vikrant Bhateja , Lila Iznita Izhar

The outbreak of the COVID-19 (Coronavirus disease 2019) pandemic has changed the world. According to the World Health Organization (WHO), there have been more than 100 million confirmed cases of COVID-19, including more than 2.4 million…

The COVID-19 pandemic has spread globally for several months. Because its transmissibility and high pathogenicity seriously threaten people's lives, it is crucial to accurately and quickly detect COVID-19 infection. Many recent studies have…

图像与视频处理 · 电气工程与系统科学 2021-02-15 Xin He , Shihao Wang , Xiaowen Chu , Shaohuai Shi , Jiangping Tang , Xin Liu , Chenggang Yan , Jiyong Zhang , Guiguang Ding

Since the breakout of coronavirus disease (COVID-19), the computer-aided diagnosis has become a necessity to prevent the spread of the virus. Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In…

The COVID-19 pandemic presented numerous challenges to healthcare systems worldwide. Given that lung infections are prevalent among COVID-19 patients, chest Computer Tomography (CT) scans have frequently been utilized as an alternative…

图像与视频处理 · 电气工程与系统科学 2023-08-04 Noemi Maritza L. Romero , Ricco Vasconcellos , Mariana R. Mendoza , João L. D. Comba

Current standard protocols used in the clinic for diagnosing COVID-19 include molecular or antigen tests, generally complemented by a plain chest X-Ray. The combined analysis aims to reduce the significant number of false negatives of these…

图像与视频处理 · 电气工程与系统科学 2020-12-01 Julian D. Arias-Londoño , Jorge A. Gomez-Garcia , Laureano Moro-Velazquez , Juan I. Godino-Llorente

COVID-19 is a highly contagious respiratory infection that has affected a large population across the world and continues with its devastating consequences. It is imperative to detect COVID-19 at the earliest to limit the span of infection.…

图像与视频处理 · 电气工程与系统科学 2020-12-18 Saddam Hussain Khan , Anabia Sohail , Asifullah Khan

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

As of June 2021, the World Health Organization (WHO) has reported 171.7 million confirmed cases including 3,698,621 deaths from COVID-19. Detecting COVID-19 and other lung diseases from Chest X-Ray (CXR) images can be very effective for…

图像与视频处理 · 电气工程与系统科学 2021-09-28 Chinmoy Bose , Anirvan Basu

Quantitative lung measures derived from computed tomography (CT) have been demonstrated to improve prognostication in coronavirus disease (COVID-19) patients, but are not part of the clinical routine since required manual segmentation of…

The recent outbreak of COVID-19 has led to urgent needs for reliable diagnosis and management of SARS-CoV-2 infection. As a complimentary tool, chest CT has been shown to be able to reveal visual patterns characteristic for COVID-19, which…

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…

图像与视频处理 · 电气工程与系统科学 2023-06-06 Kenan Morani , Devrim Unay

The COVID19 pandemic has had a detrimental impact on the health and welfare of the worlds population. An important strategy in the fight against COVID19 is the effective screening of infected patients, with one of the primary screening…

图像与视频处理 · 电气工程与系统科学 2024-11-05 Nafiz Fahad , Fariha Jahan , Md Kishor Morol , Rasel Ahmed , Md. Abdullah-Al-Jubair

The COVID-19 disease was first discovered in Wuhan, China, and spread quickly worldwide. After the COVID-19 pandemic, many researchers have begun to identify a way to diagnose the COVID-19 using chest X-ray images. The early diagnosis of…

图像与视频处理 · 电气工程与系统科学 2024-10-28 Hamid Nasiri , Ghazal Kheyroddin , Morteza Dorrigiv , Mona Esmaeili , Amir Raeisi Nafchi , Mohsen Haji Ghorbani , Payman Zarkesh-Ha

COVID-19 is a global pandemic, and detecting them is a momentous task for medical professionals today due to its rapid mutations. Current methods of examining chest X-rays and CT scan requires profound knowledge and are time consuming,…

图像与视频处理 · 电气工程与系统科学 2021-11-22 Koushik Sivarama Krishnan , Karthik Sivarama Krishnan

SARS-CoV-2, the causative agent of COVID-19, remains a global health concern due to its high transmissibility and evolving variants. Although vaccination efforts and therapeutic advancements have mitigated disease severity, emerging…

图像与视频处理 · 电气工程与系统科学 2025-09-30 Anjali Dharmik

The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods and techniques…