Transformers in medical imaging: A survey
Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …
successfully applied to several computer vision problems, achieving state-of-the-art results …
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
Deep learning (DL) has the potential to transform medical diagnostics. However, the
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …
AI for radiographic COVID-19 detection selects shortcuts over signal
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 …
accurately detect COVID-19 in chest radiographs. However, the robustness of these systems …
[HTML][HTML] Deep learning for chest X-ray analysis: A survey
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 …
image analysis tasks. As the most commonly performed radiological exam, chest …
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study
Abstract The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019
has caused immense damage to health and global well-being. Currently, there are …
has caused immense damage to health and global well-being. Currently, there are …
Human–computer collaboration for skin cancer recognition
The rapid increase in telemedicine coupled with recent advances in diagnostic artificial
intelligence (AI) create the imperative to consider the opportunities and risks of inserting AI …
intelligence (AI) create the imperative to consider the opportunities and risks of inserting AI …
Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
Can AI help in screening viral and COVID-19 pneumonia?
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused
thousands of causalities and infected several millions of people worldwide. Any …
thousands of causalities and infected several millions of people worldwide. Any …
COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images
Abstract The Coronavirus Disease 2019 (COVID-19) outbreak has a tremendous impact on
global health and the daily life of people still living in more than two hundred countries. The …
global health and the daily life of people still living in more than two hundred countries. The …
Covid-19 image data collection: Prospective predictions are the future
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 …
patient diagnosis and management has become more pressing than ever. As one of the …