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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…

Image and Video Processing · Electrical Eng. & Systems 2020-08-25 Sanhita Basu , Sushmita Mitra , Nilanjan Saha

Recent research on COVID-19 suggests that CT imaging provides useful information to assess disease progression and assist diagnosis, in addition to help understanding the disease. There is an increasing number of studies that propose to use…

Testing for COVID-19 has been unable to keep up with the demand. Further, the false negative rate is projected to be as high as 30% and test results can take some time to obtain. X-ray machines are widely available and provide images for…

Image and Video Processing · Electrical Eng. & Systems 2020-05-22 Lawrence O. Hall , Rahul Paul , Dmitry B. Goldgof , Gregory M. Goldgof

COVID-19 pandemic has spread rapidly and caused a shortage of global medical resources. The efficiency of COVID-19 diagnosis has become highly significant. As deep learning and convolutional neural network (CNN) has been widely utilized and…

Image and Video Processing · Electrical Eng. & Systems 2022-05-30 Alexandros Shikun Zhang , Naomi Fengqi Li

Coronavirus disease 2019 (COVID-19) is one of the most destructive pandemic after millennium, forcing the world to tackle a health crisis. Automated lung infections classification using chest X-ray (CXR) images could strengthen diagnostic…

Image and Video Processing · Electrical Eng. & Systems 2021-01-11 Jingxiong Li , Yaqi Wang , Shuai Wang , Jun Wang , Jun Liu , Qun Jin , Lingling Sun

Chest X-ray is the first imaging technique that plays an important role in the diagnosis of COVID-19 disease. Due to the high availability of large-scale annotated image datasets, great success has been achieved using convolutional neural…

Image and Video Processing · Electrical Eng. & Systems 2020-05-19 Asmaa Abbas , Mohammed M. Abdelsamea , Mohamed Medhat Gaber

Since the emergence of COVID-19, deep learning models have been developed to identify COVID-19 from chest X-rays. With little to no direct access to hospital data, the AI community relies heavily on public data comprising numerous data…

Computer Vision and Pattern Recognition · Computer Science 2021-09-17 Rachael Harkness , Geoff Hall , Alejandro F Frangi , Nishant Ravikumar , Kieran Zucker

Confronting the pandemic of COVID-19, is nowadays one of the most prominent challenges of the human species. A key factor in slowing down the virus propagation is the rapid diagnosis and isolation of infected patients. The standard method…

Image and Video Processing · Electrical Eng. & Systems 2021-04-27 Eduardo Luz , Pedro Lopes Silva , Rodrigo Silva , Ludmila Silva , Gladston Moreira , David Menotti

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…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Asmita Yuki Pritha , Jason Xu , Daniel Ding , Justin Li , Aryana Hou , Xin Wang , Shu Hu

COVID-19 frequently provokes pneumonia, which can be diagnosed using imaging exams. Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less radiation. Here, we demonstrate the impact of lung segmentation in…

Image and Video Processing · Electrical Eng. & Systems 2021-10-29 Lucas O. Teixeira , Rodolfo M. Pereira , Diego Bertolini , Luiz S. Oliveira , Loris Nanni , George D. C. Cavalcanti , Yandre M. G. Costa

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…

Image and Video Processing · Electrical Eng. & Systems 2020-04-21 Md Zahangir Alom , M M Shaifur Rahman , Mst Shamima Nasrin , Tarek M. Taha , Vijayan K. Asari

The global pandemic of the novel coronavirus disease 2019 (COVID-19) has put tremendous pressure on the medical system. Imaging plays a complementary role in the management of patients with COVID-19. Computed tomography (CT) and chest X-ray…

Image and Video Processing · Electrical Eng. & Systems 2021-12-21 Hui Che , Jared Radbel , Jag Sunderram , John L. Nosher , Vishal M. Patel , Ilker Hacihaliloglu

The global outbreak of the Coronavirus 2019 (COVID-19) has overloaded worldwide healthcare systems. Computer-aided diagnosis for COVID-19 fast detection and patient triage is becoming critical. This paper proposes a novel self-knowledge…

Image and Video Processing · Electrical Eng. & Systems 2022-06-08 Guang Li , Ren Togo , Takahiro Ogawa , Miki Haseyama

Chest computed tomography (CT) has played an essential diagnostic role in assessing patients with COVID-19 by showing disease-specific image features such as ground-glass opacity and consolidation. Image segmentation methods have proven to…

Image and Video Processing · Electrical Eng. & Systems 2021-07-26 Seong Tae Kim , Leili Goli , Magdalini Paschali , Ashkan Khakzar , Matthias Keicher , Tobias Czempiel , Egon Burian , Rickmer Braren , Nassir Navab , Thomas Wendler

Purpose: Rapid and reliable diagnostic tools are crucial for managing respiratory diseases like COVID-19, where chest X-ray analysis coupled with artificial intelligence techniques has proven invaluable. However, most existing works on…

Computer Vision and Pattern Recognition · Computer Science 2026-04-30 Aman Swaraj , Arnav Agarwal , Hitendra Singh Bhadouria , Sandeep Kumar , Karan Verma

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…

Image and Video Processing · Electrical Eng. & Systems 2020-10-15 Arjun Sarkar , Joerg Vandenhirtz , Jozsef Nagy , David Bacsa , Mitchell Riley

Purpose: The need to streamline patient management for COVID-19 has become more pressing than ever. Chest X-rays provide a non-invasive (potentially bedside) tool to monitor the progression of the disease. In this study, we present a…

Image and Video Processing · Electrical Eng. & Systems 2020-07-01 Joseph Paul Cohen , Lan Dao , Paul Morrison , Karsten Roth , Yoshua Bengio , Beiyi Shen , Almas Abbasi , Mahsa Hoshmand-Kochi , Marzyeh Ghassemi , Haifang Li , Tim Q Duong

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…

Image and Video Processing · Electrical Eng. & Systems 2020-07-03 Nikita Albert

Automatic and rapid screening of COVID-19 from the chest X-ray images has become an urgent need in this pandemic situation of SARS-CoV-2 worldwide in 2020. However, accurate and reliable screening of patients is a massive challenge due to…

Image and Video Processing · Electrical Eng. & Systems 2020-06-25 Mahesh Gour , Sweta Jain

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