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相关论文: Diagnosis of COVID-19 Using Machine Learning and D…

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The outbreak of novel coronavirus disease (COVID- 19) has claimed millions of lives and has affected all aspects of human life. This paper focuses on the application of deep learning (DL) models to medical imaging and drug discovery for…

图像与视频处理 · 电气工程与系统科学 2021-07-21 Subrato Bharati , Prajoy Podder , M. Rubaiyat Hossain Mondal , V. B. Surya Prasath

Coronavirus, or COVID-19, is a hazardous disease that has endangered the health of many people around the world by directly affecting the lungs. COVID-19 is a medium-sized, coated virus with a single-stranded RNA, and also has one of the…

The emergence of COVID-19 has necessitated many efforts by the scientific community for its proper management. An urgent clinical reaction is required in the face of the unending devastation being caused by the pandemic. These efforts…

机器学习 · 计算机科学 2020-12-14 Parsa Sarosh , Shabir A. Parah , Romany F Mansur , G. M. Bhat

Purpose: Artificial intelligence (AI) techniques have been extensively utilized for diagnosing and prognosis of several diseases in recent years. This study identifies, appraises and synthesizes published studies on the use of AI for the…

Artificial intelligence (AI) and machine learning (ML) have made a paradigm shift in health care which, eventually can be used for decision support and forecasting by exploring the medical data. Recent studies showed that AI and ML can be…

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

Purpose: Early detection and diagnosis of Covid-19 and accurate separation of patients with non-Covid-19 cases at the lowest cost and in the early stages of the disease are one of the main challenges in the epidemic of Covid-19. Concerning…

图像与视频处理 · 电气工程与系统科学 2020-12-22 Mustafa Ghaderzadeh , Farkhondeh Asadi

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

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

The Coronavirus (COVID-19) outbreak in December 2019 has become an ongoing threat to humans worldwide, creating a health crisis that infected millions of lives, as well as devastating the global economy. Deep learning (DL) techniques have…

图像与视频处理 · 电气工程与系统科学 2023-06-09 Asifullah Khan , Saddam Hussain Khan , Mahrukh Saif , Asiya Batool , Anabia Sohail , Muhammad Waleed Khan

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

Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world and has become one of the most acute and severe ailments in the past hundred years. The prevalence rate of COVID-19 is rapidly rising every day…

图像与视频处理 · 电气工程与系统科学 2022-09-09 Md. Milon Islam , Fakhri Karray , Reda Alhajj , Jia Zeng

This study presents a comprehensive review of the potential of multimodal deep learning (DL) in medical diagnosis, using COVID-19 as a case example. Motivated by the success of artificial intelligence applications during the COVID-19…

There is a necessity to develop affordable, and reliable diagnostic tools, which allow containing the COVID-19 spreading. Machine Learning (ML) algorithms have been proposed to design support decision-making systems to assess chest X-ray…

COVID-19 was first discovered in December 2019 and has continued to rapidly spread across countries worldwide infecting thousands and millions of people. The virus is deadly, and people who are suffering from prior illnesses or are older…

The ongoing COVID-19 pandemic continues to pose significant challenges to global public health, despite the widespread availability of vaccines. Early detection of the disease remains paramount in curbing its transmission and mitigating its…

机器学习 · 计算机科学 2024-12-05 Mohsen Asghari Ilani , Saba Moftakhar Tehran , Ashkan Kavei , Arian Radmehr

The outbreak of COVID-19 disease caused more than 100,000 deaths so far in the USA alone. It is necessary to conduct an initial screening of patients with the symptoms of COVID-19 disease to control the spread of the disease. However, it is…

图像与视频处理 · 电气工程与系统科学 2020-10-30 Md Manjurul Ahsan , Kishor Datta Gupta , Mohammad Maminur Islam , Sajib Sen , Md. Lutfar Rahman , Mohammad Shakhawat Hossain

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

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

Background: The COVID-19 pandemic has overwhelmed healthcare systems, emphasizing the need for AI-driven tools to assist in rapid and accurate patient prognosis. Chest X-ray imaging is a widely available diagnostic tool, but existing…

图像与视频处理 · 电气工程与系统科学 2025-03-18 Alfred Simbun , Suresh Kumar
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