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The latest threat to global health is the COVID-19 outbreak. Although there exist large datasets of chest X-rays (CXR) and computed tomography (CT) scans, few COVID-19 image collections are currently available due to patient privacy. At the…

Image and Video Processing · Electrical Eng. & Systems 2020-10-23 Yifan Peng , Yu-Xing Tang , Sungwon Lee , Yingying Zhu , Ronald M. Summers , Zhiyong Lu

Purpose: Digital phantoms are one of the key components of virtual imaging trials (VITs) that aim to assess and optimize new medical imaging systems and algorithms. However, these phantoms vary in their voxel resolution, appearance, and…

Medical Physics · Physics 2024-02-02 Amar Kavuri , Mini Das

The COVID-19 pandemic exposed critical limitations in diagnostic workflows: RT-PCR tests suffer from slow turnaround times and high false-negative rates, while CT-based screening offers faster complementary diagnosis but requires expert…

Image and Video Processing · Electrical Eng. & Systems 2026-03-18 Aadit Nilay , Bhavesh Thapar , Anant Agrawal , Mohammad Nayeem Teli

The Coronavirus Disease 2019 (COVID-19) pandemic has impacted many aspects of life globally, and a critical factor in mitigating its effects is screening individuals for infections, thereby allowing for both proper treatment for those…

Image and Video Processing · Electrical Eng. & Systems 2021-08-09 Alexander MacLean , Saad Abbasi , Ashkan Ebadi , Andy Zhao , Maya Pavlova , Hayden Gunraj , Pengcheng Xi , Sonny Kohli , Alexander Wong

Computed Tomography (CT) scans provide a detailed image of the lungs, allowing clinicians to observe the extent of damage caused by COVID-19. The CT severity score (CTSS) based scoring method is used to identify the extent of lung…

Image and Video Processing · Electrical Eng. & Systems 2023-03-20 Anand Thyagachandran , Hema A Murthy

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…

Image and Video Processing · Electrical Eng. & Systems 2020-10-20 Enzo Tartaglione , Carlo Alberto Barbano , Claudio Berzovini , Marco Calandri , Marco Grangetto

Despite the great efforts to find an effective way for COVID-19 prediction, the virus nature and mutation represent a critical challenge to diagnose the covered cases. However, developing a model to predict COVID-19 via Chest X-Ray (CXR)…

Image and Video Processing · Electrical Eng. & Systems 2022-03-14 Essam H. Houssein , Zainab Abohashima , Mohamed Elhoseny , Waleed M. Mohamed

COVID-19 has been detrimental in terms of the number of fatalities and rising number of critical patients across the world. According to the UNDP (United National Development Programme) Socio-Economic programme, aimed at the COVID-19…

Image and Video Processing · Electrical Eng. & Systems 2020-08-25 Muhammad Aleem , Rahul Raj , Arshad Khan

Across the world's coronavirus disease 2019 (COVID-19) hot spots, the need to streamline patient diagnosis and management has become more pressing than ever. As one of the main imaging tools, chest X-rays (CXRs) are common, fast,…

Quantitative Methods · Quantitative Biology 2023-06-29 Joseph Paul Cohen , Paul Morrison , Lan Dao , Karsten Roth , Tim Q Duong , Marzyeh Ghassemi

Lung diseases such as COVID-19, tuberculosis (TB), and pneumonia continue to be serious global health concerns that affect millions of people worldwide. In medical practice, chest X-ray examinations have emerged as the norm for diagnosing…

Image and Video Processing · Electrical Eng. & Systems 2023-10-11 Aditya Kulkarni , Guruprasad Parasnis , Harish Balasubramanian , Vansh Jain , Anmol Chokshi , Reena Sonkusare

The recent outbreak of COVID-19 has halted the whole world, bringing a devastating effect on public health, global economy, and educational systems. As the vaccine of the virus is still not available, the most effective way to combat the…

Image and Video Processing · Electrical Eng. & Systems 2020-09-01 A. Q. M. Sazzad Sayyed , Dipayan Saha , Abdul Rakib Hossain

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.…

The COVID-19 is sweeping the world with deadly consequences. Its contagious nature and clinical similarity to other pneumonias make separating subjects contracted with COVID-19 and non-COVID-19 viral pneumonia a priority and a challenge.…

Machine Learning · Computer Science 2020-05-15 Forrest Sheng Bao , Youbiao He , Jie Liu , Yuanfang Chen , Qian Li , Christina R. Zhang , Lei Han , Baoli Zhu , Yaorong Ge , Shi Chen , Ming Xu , Liu Ouyang

The COVID-19 pandemic continues to spread and impact the well-being of the global population. The front-line modalities including computed tomography (CT) and X-ray play an important role for triaging COVID patients. Considering the limited…

In the realm of medical imaging, particularly for COVID-19 detection, deep learning models face substantial challenges such as the necessity for extensive computational resources, the paucity of well-annotated datasets, and a significant…

Image and Video Processing · Electrical Eng. & Systems 2024-09-10 Li Lin , Yamini Sri Krubha , Zhenhuan Yang , Cheng Ren , Thuc Duy Le , Irene Amerini , Xin Wang , Shu Hu

Patients with the COVID-19 infection may have pneumonia-like symptoms as well as respiratory problems which may harm the lungs. From medical images, coronavirus illness may be accurately identified and predicted using a variety of machine…

Computer Vision and Pattern Recognition · Computer Science 2023-02-20 Tareque Rahman Ornob , Gourab Roy , Enamul Hassan

The novel COVID-19 is a global pandemic disease overgrowing worldwide. Computer-aided screening tools with greater sensitivity is imperative for disease diagnosis and prognosis as early as possible. It also can be a helpful tool in triage…

Image and Video Processing · Electrical Eng. & Systems 2021-04-15 Md. Kamrul Hasan , Md. Tasnim Jawad , Kazi Nasim Imtiaz Hasan , Sajal Basak Partha , Md. Masum Al Masba , Shumit Saha

The gold standard for COVID-19 is RT-PCR, testing facilities for which are limited and not always optimally distributed. Test results are delayed, which impacts treatment. Expert radiologists, one of whom is a co-author, are able to…

Computer Vision and Pattern Recognition · Computer Science 2021-02-17 Kartikeya Badola , Sameer Ambekar , Himanshu Pant , Sumit Soman , Anuradha Sural , Rajiv Narang , Suresh Chandra , Jayadeva

Computed tomography (CT) image provides useful information for radiologists to diagnose Covid-19. However, visual analysis of CT scans is time-consuming. Thus, it is necessary to develop algorithms for automatic Covid-19 detection from CT…

Image and Video Processing · Electrical Eng. & Systems 2021-01-19 Ling Huang , Su Ruan , Thierry Denoeux

Purpose: Accurate segmentation of lung and infection in COVID-19 CT scans plays an important role in the quantitative management of patients. Most of the existing studies are based on large and private annotated datasets that are…

Image and Video Processing · Electrical Eng. & Systems 2021-06-09 Jun Ma , Yixin Wang , Xingle An , Cheng Ge , Ziqi Yu , Jianan Chen , Qiongjie Zhu , Guoqiang Dong , Jian He , Zhiqiang He , Yuntao Zhu , Ziwei Nie , Xiaoping Yang