中文
相关论文

相关论文: Residual Attention U-Net for Automated Multi-Class…

200 篇论文

Coronavirus disease 2019 (COVID-19) is a Public Health Emergency of International Concern infecting more than 40 million people across 188 countries and territories. Chest computed tomography (CT) imaging technique benefits from its high…

图像与视频处理 · 电气工程与系统科学 2021-02-02 Yifan Jiang , Han Chen , David K. Han , Hanseok Ko

Chest X-rays of coronavirus disease 2019 (COVID-19) patients are frequently obtained to determine the extent of lung disease and are a valuable source of data for creating artificial intelligence models. Most work to date assessing disease…

图像与视频处理 · 电气工程与系统科学 2021-05-21 Vignav Ramesh , Blaine Rister , Daniel L. Rubin

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 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…

图像与视频处理 · 电气工程与系统科学 2021-04-15 Md. Kamrul Hasan , Md. Tasnim Jawad , Kazi Nasim Imtiaz Hasan , Sajal Basak Partha , Md. Masum Al Masba , Shumit Saha

The novelty of the COVID-19 disease and the speed of spread has created a colossal chaos, impulse among researchers worldwide to exploit all the resources and capabilities to understand and analyze characteristics of the coronavirus in term…

图像与视频处理 · 电气工程与系统科学 2020-07-07 Omar Elharrouss , Nandhini Subramanian , Somaya Al-Maadeed

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…

图像与视频处理 · 电气工程与系统科学 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

Automatic segmentation of infected regions in computed tomography (CT) images is necessary for the initial diagnosis of COVID-19. Deep-learning-based methods have the potential to automate this task but require a large amount of data with…

图像与视频处理 · 电气工程与系统科学 2022-09-28 Han Chen , Yifan Jiang , Hanseok Ko , Murray Loew

Since 2019, coronavirus Disease 2019 (COVID-19) has been widely spread and posed a serious threat to public health. Chest Computed Tomography (CT) holds great potential for screening and diagnosis of this disease. The segmentation of…

图像与视频处理 · 电气工程与系统科学 2023-03-01 Jiesi Hu , Yanwu Yang , Xutao Guo , Ting Ma

The coronavirus disease 2019 (COVID-19) pandemic continues to have a tremendous impact on patients and healthcare systems around the world. In the fight against this novel disease, there is a pressing need for rapid and effective screening…

图像与视频处理 · 电气工程与系统科学 2020-09-14 Hayden Gunraj , Linda Wang , Alexander Wong

In recent times, the use of chest Computed Tomography (CT) images for detecting coronavirus infections has gained significant attention, owing to their ability to reveal bilateral changes in affected individuals. However, classifying…

图像与视频处理 · 电气工程与系统科学 2023-10-27 Amir Ali

Coronavirus Disease 2019 (COVID-19) has caused great casualties and becomes almost the most urgent public health events worldwide. Computed tomography (CT) is a significant screening tool for COVID-19 infection, and automated segmentation…

图像与视频处理 · 电气工程与系统科学 2021-02-11 Xiangyu Zhao , Peng Zhang , Fan Song , Guangda Fan , Yangyang Sun , Yujia Wang , Zheyuan Tian , Luqi Zhang , Guanglei Zhang

Recent research on COVID-19 suggests that CT imaging provides useful information to assess disease progression and assist diagnosis, in addition to help understanding the disease. There is an increasing number of studies that propose to use…

The new coronavirus infection has shocked the world since early 2020 with its aggressive outbreak. Rapid detection of the disease saves lives, and relying on medical imaging (Computed Tomography and X-ray) to detect infected lungs has shown…

图像与视频处理 · 电气工程与系统科学 2020-11-03 Parham Yazdekhasty , Ali Zindar , Zahra Nabizadeh-ShahreBabak , Roshank Roshandel , Pejman Khadivi , Nader Karimi , Shadrokh Samavi

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)…

图像与视频处理 · 电气工程与系统科学 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

The devastation caused by the coronavirus pandemic makes it imperative to design automated techniques for a fast and accurate detection. We propose a novel non-invasive tool, using deep learning and imaging, for delineating COVID-19…

图像与视频处理 · 电气工程与系统科学 2022-12-26 Surochita Pal Das , Sushmita Mitra , B. Uma Shankar

Coronavirus Disease 2019 (COVID-19) has spread aggressively across the world causing an existential health crisis. Thus, having a system that automatically detects COVID-19 in tomography (CT) images can assist in quantifying the severity of…

图像与视频处理 · 电气工程与系统科学 2020-07-08 Issam Laradji , Pau Rodriguez , Oscar Mañas , Keegan Lensink , Marco Law , Lironne Kurzman , William Parker , David Vazquez , Derek Nowrouzezahrai

Since 2019, the global dissemination of the Coronavirus and its novel strains has resulted in a surge of new infections. The use of X-ray and computed tomography (CT) imaging techniques is critical in diagnosing and managing COVID-19.…

图像与视频处理 · 电气工程与系统科学 2024-01-17 Sayed Amir Mousavi Mobarakeh , Kamran Kazemi , Ardalan Aarabi , Habibollah Danyal

The novel corona-virus disease (COVID-19) pandemic has caused a major outbreak in more than 200 countries around the world, leading to a severe impact on the health and life of many people globally. As of Aug 25th of 2020, more than 20…

图像与视频处理 · 电气工程与系统科学 2020-09-14 Shakib Yazdani , Shervin Minaee , Rahele Kafieh , Narges Saeedizadeh , Milan Sonka

Computed Tomography (CT) scans provide a detailed image of the lungs, allowing clinicians to observe the extent of damage caused by COVID-19. The CT severity score (CTSS) based scoring method is used to identify the extent of lung…

图像与视频处理 · 电气工程与系统科学 2023-03-20 Anand Thyagachandran , Hema A Murthy

The ongoing global pandemic of Coronavirus Disease 2019 (COVID-19) poses a serious threat to public health and the economy. Rapid and accurate diagnosis of COVID-19 is crucial to prevent the further spread of the disease and reduce its…

图像与视频处理 · 电气工程与系统科学 2021-08-31 Jun Shi , Huite Yi , Shulan Ruan , Zhaohui Wang , Xiaoyu Hao , Hong An , Wei Wei