[HTML][HTML] Deep learning for chest X-ray analysis: A survey

E Çallı, E Sogancioglu, B van Ginneken… - Medical Image …, 2021 - Elsevier
Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …

A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises

SK Zhou, H Greenspan, C Davatzikos… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Since its renaissance, deep learning has been widely used in various medical imaging tasks
and has achieved remarkable success in many medical imaging applications, thereby …

AI for radiographic COVID-19 detection selects shortcuts over signal

AJ DeGrave, JD Janizek, SI Lee - Nature Machine Intelligence, 2021 - nature.com
Artificial intelligence (AI) researchers and radiologists have recently reported AI systems that
accurately detect COVID-19 in chest radiographs. However, the robustness of these systems …

Covid-19 image data collection: Prospective predictions are the future

JP Cohen, P Morrison, L Dao, K Roth… - arXiv preprint arXiv …, 2020 - arxiv.org
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 …

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

L Wynants, B Van Calster, GS Collins, RD Riley… - bmj, 2020 - bmj.com
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …

Development and evaluation of an artificial intelligence system for COVID-19 diagnosis

C Jin, W Chen, Y Cao, Z Xu, Z Tan, X Zhang… - Nature …, 2020 - nature.com
Early detection of COVID-19 based on chest CT enables timely treatment of patients and
helps control the spread of the disease. We proposed an artificial intelligence (AI) system for …

Mapping the landscape of artificial intelligence applications against COVID-19

J Bullock, A Luccioni, KH Pham, CSN Lam… - Journal of Artificial …, 2020 - jair.org
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by
the World Health Organization, which has reported over 18 million confirmed cases as of …

Diagnosis of COVID-19 using CT scan images and deep learning techniques

V Shah, R Keniya, A Shridharani, M Punjabi, J Shah… - Emergency …, 2021 - Springer
Early diagnosis of the coronavirus disease in 2019 (COVID-19) is essential for controlling
this pandemic. COVID-19 has been spreading rapidly all over the world. There is no vaccine …

Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection

J Zhang, Y Xie, G Pang, Z Liao… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Clusters of viral pneumonia occurrences over a short period may be a harbinger of an
outbreak or pandemic. Rapid and accurate detection of viral pneumonia using chest X-rays …

Thoracic imaging tests for the diagnosis of COVID‐19

N Islam, S Ebrahimzadeh, JP Salameh… - Cochrane Database …, 2021 - cochranelibrary.com
Background The respiratory illness caused by SARS‐CoV‐2 infection continues to present
diagnostic challenges. Our 2020 edition of this review showed thoracic (chest) imaging to be …