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相关论文: Robust COVID-19 Detection in CT Images with CLIP

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Early detection of COVID-19 is crucial for effective treatment and controlling its spread. This study proposes a novel hybrid deep learning model for detecting COVID-19 from CT scan images, designed to assist overburdened medical…

图像与视频处理 · 电气工程与系统科学 2025-01-29 Suresh Babu Nettur , Shanthi Karpurapu , Unnati Nettur , Likhit Sagar Gajja , Sravanthy Myneni , Akhil Dusi , Lalithya Posham

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…

图像与视频处理 · 电气工程与系统科学 2020-12-07 Khalfalla Awedat , Almabrok Essa

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

Deep learning (DL) analysis of Chest X-ray (CXR) and Computed tomography (CT) images has garnered a lot of attention in recent times due to the COVID-19 pandemic. Convolutional Neural Networks (CNNs) are well suited for the image analysis…

图像与视频处理 · 电气工程与系统科学 2022-12-29 Suba S , Nita Parekh

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…

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

COVID-19 is a severe and acute viral disease that can cause symptoms consistent with pneumonia in which inflammation is caused in the alveolous regions of the lungs leading to a build-up of fluid and breathing difficulties. Thus, the…

图像与视频处理 · 电气工程与系统科学 2025-07-08 Yinuo Wang , Juhyun Bae , Ka Ho Chow , Shenyang Chen , Shreyash Gupta

For testing patients infected with COVID-19, along with RT-PCR testing, chest radiology images are being used. For the detection of COVID-19 from radiology images, many organizations are proposing the use of Deep Learning. University of…

图像与视频处理 · 电气工程与系统科学 2020-10-12 Arjun Sarkar , Joerg Vandenhirtz , Jozsef Nagy , David Bacsa , Mitchell Riley

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

The significance of efficient and accurate diagnosis amidst the unique challenges posed by the COVID-19 pandemic underscores the urgency for innovative approaches. In response to these challenges, we propose a transfer learning-based…

图像与视频处理 · 电气工程与系统科学 2023-12-12 Kenan Morani , Esra Kaya Ayana , Devrim Unay

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…

图像与视频处理 · 电气工程与系统科学 2020-04-21 Md Zahangir Alom , M M Shaifur Rahman , Mst Shamima Nasrin , Tarek M. Taha , Vijayan K. Asari

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

The rapid spread of COVID-19 has necessitated efficient and accurate diagnostic methods. Computed Tomography (CT) scan images have emerged as a valuable tool for detecting the disease. In this article, we present a novel deep learning…

图像与视频处理 · 电气工程与系统科学 2023-08-15 Susmita Ghosh , Abhiroop Chatterjee

The early and reliable detection of COVID-19 infected patients is essential to prevent and limit its outbreak. The PCR tests for COVID-19 detection are not available in many countries and also there are genuine concerns about their…

In a worldwide health crisis as exigent as COVID-19, there has become a pressing need for rapid, reliable diagnostics. Currently, popular testing methods such as reverse transcription polymerase chain reaction (RT-PCR) can have high false…

图像与视频处理 · 电气工程与系统科学 2022-07-15 Justin Liu

In the current COVID-19 pandemic situation, there is an urgent need to screen infected patients quickly and accurately. Using deep learning models trained on chest X-ray images can become an efficient method for screening COVID-19 patients…

图像与视频处理 · 电气工程与系统科学 2021-03-02 Shruti Jadon

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…

图像与视频处理 · 电气工程与系统科学 2023-02-16 Song Wu , Yazhou Ren , Aodi Yang , Xinyue Chen , Xiaorong Pu , Jing He , Liqiang Nie , Philip S. Yu

One of the key challenges in the battle against the Coronavirus (COVID-19) pandemic is to detect and quantify the severity of the disease in a timely manner. Computed tomographies (CT) of the lungs are effective for assessing the state of…

The coronavirus disease, named COVID-19, has become the largest global public health crisis since it started in early 2020. CT imaging has been used as a complementary tool to assist early screening, especially for the rapid identification…

图像与视频处理 · 电气工程与系统科学 2020-05-11 Donglin Di , Feng Shi , Fuhua Yan , Liming Xia , Zhanhao Mo , Zhongxiang Ding , Fei Shan , Shengrui Li , Ying Wei , Ying Shao , Miaofei Han , Yaozong Gao , He Sui , Yue Gao , Dinggang Shen
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