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相关论文: COVID_MTNet: COVID-19 Detection with Multi-Task De…

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The ongoing COVID-19 pandemic has already taken millions of lives and damaged economies across the globe. Most COVID-19 deaths and economic losses are reported from densely crowded cities. It is comprehensible that the effective control and…

图像与视频处理 · 电气工程与系统科学 2022-08-04 Zeba Ghaffar , Pir Masoom Shah , Hikmat Khan , Syed Farhan Alam Zaidi , Abdullah Gani , Izaz Ahmad Khan , Munam Ali Shah , Saif ul Islam

The COVID19 pandemic, a unique and devastating respiratory disease outbreak, has affected global populations as the disease spreads rapidly. Recent Deep Learning breakthroughs may improve COVID19 prediction and forecasting as a tool of…

图像与视频处理 · 电气工程与系统科学 2023-10-24 Md Aminul Islam , Shabbir Ahmed Shuvo , Mohammad Abu Tareq Rony , M Raihan , Md Abu Sufian

By the start of 2020, the novel coronavirus disease (COVID-19) has been declared a worldwide pandemic. Because of the severity of this infectious disease, several kinds of research have focused on combatting its ongoing spread. One…

图像与视频处理 · 电气工程与系统科学 2021-05-19 Safa Ben Atitallah , Maha Driss , Wadii Boulila , Henda Ben Ghézala

Purpose: Considering several patients screened due to COVID-19 pandemic, computer-aided detection has strong potential in assisting clinical workflow efficiency and reducing the incidence of infections among radiologists and healthcare…

图像与视频处理 · 电气工程与系统科学 2022-12-20 Guang Li , Ren Togo , Takahiro Ogawa , Miki Haseyama

Early and reliable COVID-19 diagnosis based on chest 3-D CT scans can assist medical specialists in vital circumstances. Deep learning methodologies constitute a main approach for chest CT scan analysis and disease prediction. However,…

图像与视频处理 · 电气工程与系统科学 2021-06-22 Dimitrios Kollias , Anastasios Arsenos , Levon Soukissian , Stefanos Kollias

Detecting COVID-19 in computed tomography (CT) or radiography images has been proposed as a supplement to the definitive RT-PCR test. We present a deep learning ensemble for detecting COVID-19 infection, combining slice-based (2D) and…

Coronavirus disease 2019 (COVID-19) has spread all over the world for three years, but medical facilities in many areas still aren't adequate. There is a need for rapid COVID-19 diagnosis to identify high-risk patients and maximize the use…

图像与视频处理 · 电气工程与系统科学 2023-04-27 Lin Yang , Shuihua Wang , Yudong Zhang

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

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

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…

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

Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep Learning techniques…

图像与视频处理 · 电气工程与系统科学 2025-01-27 Aysen Degerli , Mete Ahishali , Mehmet Yamac , Serkan Kiranyaz , Muhammad E. H. Chowdhury , Khalid Hameed , Tahir Hamid , Rashid Mazhar , Moncef Gabbouj

Background: This paper provides a systematic review of the application of Artificial Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in fighting against the effects of novel coronavirus disease…

图像与视频处理 · 电气工程与系统科学 2021-10-29 M. Rubaiyat Hossain Mondal , Subrato Bharati , Prajoy Podder

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

Deep learning models for COVID-19 detection from chest CT scans generally perform well when the training and test data originate from the same institution, but they often struggle when scans are drawn from multiple centres with differing…

计算机视觉与模式识别 · 计算机科学 2026-04-07 Asmita Yuki Pritha , Jason Xu , Daniel Ding , Justin Li , Aryana Hou , Xin Wang , Shu Hu

Propose: Troubling countries one after another, the COVID-19 pandemic has dramatically affected the health and well-being of the world's population. The disease may continue to persist more extensively due to the increasing number of new…

图像与视频处理 · 电气工程与系统科学 2020-11-10 Ali Al-Bawi , Karrar Ali Al-Kaabi , Mohammed Jeryo , Ahmad Al-Fatlawi

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

COVID-19 is a novel virus that attacks the upper respiratory tract and the lungs. Its person-to-person transmissibility is considerably rapid and this has caused serious problems in approximately every facet of individuals lives. While some…

图像与视频处理 · 电气工程与系统科学 2022-09-28 Abdolreza Marefat , Mahdieh Marefat , Javad Hasannataj Joloudari , Mohammad Ali Nematollahi , Reza Lashgari

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…

图像与视频处理 · 电气工程与系统科学 2020-04-02 Halgurd S. Maghdid , Aras T. Asaad , Kayhan Zrar Ghafoor , Ali Safaa Sadiq , Muhammad Khurram Khan

There is an urgent need for automated methods to assist accurate and effective assessment of COVID-19. Radiology and nucleic acid test (NAT) are complementary COVID-19 diagnosis methods. In this paper, we present an end-to-end multitask…

图像与视频处理 · 电气工程与系统科学 2021-12-14 Guoqing Bao , Huai Chen , Tongliang Liu , Guanzhong Gong , Yong Yin , Lisheng Wang , Xiuying Wang