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相关论文: COVID-CT-Dataset: A CT Scan Dataset about COVID-19

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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

Millions of people are infected by the coronavirus disease 2019 (COVID19) around the world. Machine Learning (ML) techniques are being used for COVID19 detection research from the beginning of the epidemic. This article represents the…

机器学习 · 计算机科学 2020-08-18 Md Fahimuzzman Sohan

Importance: An artificial intelligence (AI)-based model to predict COVID-19 likelihood from chest x-ray (CXR) findings can serve as an important adjunct to accelerate immediate clinical decision making and improve clinical decision making.…

There are multiple papers published about different AI models for the COVID-19 diagnosis with promising results. Unfortunately according to the reviews many of the papers do not reach the level of sophistication needed for a clinically…

图像与视频处理 · 电气工程与系统科学 2022-01-19 Tuomo Kalliokoski

This research presents a review of main datasets that are developed for COVID-19 research. We hope this collection will continue to bring together members of the computing community, biomedical experts, and policymakers in the pursuit of…

计算机与社会 · 计算机科学 2022-07-28 Syed Raza Bashir , Shaina Raza , Vidhi Thakkar , Usman Naseem

The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, raising the need to develop novel tools to provide rapid and cost-effective screening and diagnosis. Clinical reports indicated that COVID-19 infection…

图像与视频处理 · 电气工程与系统科学 2023-01-11 Thao Nguyen , Hieu H. Pham , Huy Khiem Le , Anh Tu Nguyen , Ngoc Tien Thanh , Cuong Do

Controlling the COVID-19 pandemic largely hinges upon the existence of fast, safe, and highly-available diagnostic tools. Ultrasound, in contrast to CT or X-Ray, has many practical advantages and can serve as a globally-applicable…

计算机视觉与模式识别 · 计算机科学 2021-01-14 Jannis Born , Nina Wiedemann , Gabriel Brändle , Charlotte Buhre , Bastian Rieck , Karsten Borgwardt

The pandemic of coronavirus disease 2019 (COVID-19) has lead to a global public health crisis spreading hundreds of countries. With the continuous growth of new infections, developing automated tools for COVID-19 identification with CT…

图像与视频处理 · 电气工程与系统科学 2020-09-17 Zhao Wang , Quande Liu , Qi Dou

The COVID-19 pandemic has been having a severe and catastrophic effect on humankind and is being considered the most crucial health calamity of the century. One of the best methods of detecting COVID-19 is from radiological images, namely…

图像与视频处理 · 电气工程与系统科学 2020-10-15 Arjun Sarkar , Joerg Vandenhirtz , Jozsef Nagy , David Bacsa , Mitchell Riley

With increasing number of COVID-19 cases globally, all the countries are ramping up the testing numbers. While the RT-PCR kits are available in sufficient quantity in several countries, others are facing challenges with limited availability…

图像与视频处理 · 电气工程与系统科学 2020-08-10 Aakarsh Malhotra , Surbhi Mittal , Puspita Majumdar , Saheb Chhabra , Kartik Thakral , Mayank Vatsa , Richa Singh , Santanu Chaudhury , Ashwin Pudrod , Anjali Agrawal

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…

During the COVID-19 pandemic, the sheer volume of imaging performed in an emergency setting for COVID-19 diagnosis has resulted in a wide variability of clinical CXR acquisitions. This variation is seen in the CXR projections used, image…

Reverse transcription-polymerase chain reaction (RT-PCR) is currently the gold standard in COVID-19 diagnosis. It can, however, take days to provide the diagnosis, and false negative rate is relatively high. Imaging, in particular chest…

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

Despite the widespread testing protocols for COVID-19, there are still significant challenges in early detection of the disease, which is crucial for preventing its spread and optimizing patient outcomes. Owing to the limited testing…

机器学习 · 计算机科学 2023-12-13 Moyosolu Akinloye

Machine learning methods offer great promise for fast and accurate detection and prognostication of COVID-19 from standard-of-care chest radiographs (CXR) and computed tomography (CT) images. Many articles have been published in 2020…

The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community. In this study we provide insights and also raise…

图像与视频处理 · 电气工程与系统科学 2020-10-20 Enzo Tartaglione , Carlo Alberto Barbano , Claudio Berzovini , Marco Calandri , Marco Grangetto

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…

The advent of 2019 Coronavirus (COVID-19) has engendered a momentous global health crisis, necessitating the identification of the ailment in individuals through diverse diagnostic modalities. Radiological imaging, particularly the…

图像与视频处理 · 电气工程与系统科学 2023-06-16 Sultan Zavrak

As the rapid spread of coronavirus disease (COVID-19) worldwide, chest X-ray radiography has also been used to detect COVID-19 infected pneumonia and assess its severity or monitor its prognosis in the hospitals due to its low cost, low…

图像与视频处理 · 电气工程与系统科学 2020-09-29 Morteza Heidari , Seyedehnafiseh Mirniaharikandehei , Abolfazl Zargari Khuzani , Gopichandh Danala , Yuchen Qiu , Bin Zheng