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相关论文: Explainable COVID-19 Detection Using Chest CT Scan…

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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

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

With the ever increasing demand for screening millions of prospective "novel coronavirus" or COVID-19 cases, and due to the emergence of high false negatives in the commonly used PCR tests, the necessity for probing an alternative simple…

图像与视频处理 · 电气工程与系统科学 2020-08-25 Sanhita Basu , Sushmita Mitra , Nilanjan Saha

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

The corona virus is already spread around the world in many countries, and it has taken many lives. Furthermore, the world health organization (WHO) has announced that COVID-19 has reached the global epidemic stage. Early and reliable…

图像与视频处理 · 电气工程与系统科学 2020-06-29 Abdolkarim Saeedi , Maryam Saeedi , Arash Maghsoudi

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

The rapid outbreak of COVID-19 threatens humans life all around the world. Due to insufficient diagnostic infrastructures, developing an accurate, efficient, inexpensive, and quick diagnostic tool is of great importance. As chest…

图像与视频处理 · 电气工程与系统科学 2021-01-01 Maryam Dialameh , Ali Hamzeh , Hossein Rahmani , Amir Reza Radmard , Safoura Dialameh

In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray (CXR) imaging is playing an important role in the diagnosis and monitoring of patients with COVID-19. Machine learning solutions have been shown to be useful for…

Background and Objective: Artificial intelligence (AI) methods coupled with biomedical analysis has a critical role during pandemics as it helps to release the overwhelming pressure from healthcare systems and physicians. As the ongoing…

图像与视频处理 · 电气工程与系统科学 2022-07-12 Aman Swaraj , Karan Verma

Purpose: Coronavirus 2019 (COVID-19), which emerged in Wuhan, China and affected the whole world, has cost the lives of thousands of people. Manual diagnosis is inefficient due to the rapid spread of this virus. For this reason, automatic…

图像与视频处理 · 电气工程与系统科学 2020-11-12 Umut Özkaya , Şaban Öztürk , Serkan Budak , Farid Melgani , Kemal Polat

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…

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

COVID-19 is an infectious disease that causes respiratory problems similar to those caused by SARS-CoV (2003). Currently, swab samples are being used for its diagnosis. The most common testing method used is the RT-PCR method, which has…

图像与视频处理 · 电气工程与系统科学 2020-06-25 Rohit Lokwani , Ashrika Gaikwad , Viraj Kulkarni , Aniruddha Pant , Amit Kharat

Interpreting chest radiograph, a.ka. chest x-ray, images is a necessary and crucial diagnostic tool used by medical professionals to detect and identify many diseases that may plague a patient. Although the images themselves contain a…

图像与视频处理 · 电气工程与系统科学 2020-07-03 Nikita Albert

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 classification using chest Computed Tomography (CT) has been found pragmatically useful by several studies. Due to the lack of annotated samples, these studies recommend transfer learning and explore the choices of pre-trained…

计算机视觉与模式识别 · 计算机科学 2021-02-17 Fouzia Altaf , Syed M. S. Islam , Naeem K. Janjua , Naveed Akhtar

SARS-CoV-2, also known as COVID-19 or Coronavirus, is a viral contagious disease that is infected by a novel coronavirus, and has been rapidly spreading across the globe. It is very important to test and isolate people to reduce spread, and…

图像与视频处理 · 电气工程与系统科学 2021-05-25 Prerak Mann , Sahaj Jain , Saurabh Mittal , Aruna Bhat

With the spread of COVID-19 around the globe over the past year, the usage of artificial intelligence (AI) algorithms and image processing methods to analyze the X-ray images of patients' chest with COVID-19 has become essential. The…

图像与视频处理 · 电气工程与系统科学 2025-01-16 Xinyuan Song

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

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