Transformers in medical imaging: A survey

F Shamshad, S Khan, SW Zamir, MH Khan… - Medical Image …, 2023 - Elsevier
Following unprecedented success on the natural language tasks, Transformers have been
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

R Aggarwal, V Sounderajah, G Martin, DSW Ting… - NPJ digital …, 2021 - nature.com
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 …

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 …

[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 …

Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

SR Nayak, DR Nayak, U Sinha, V Arora… - … Signal Processing and …, 2021 - Elsevier
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 …

Human–computer collaboration for skin cancer recognition

P Tschandl, C Rinner, Z Apalla, G Argenziano… - Nature Medicine, 2020 - nature.com
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 …

Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective

JPO Li, H Liu, DSJ Ting, S Jeon, RVP Chan… - Progress in retinal and …, 2021 - Elsevier
The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …

Can AI help in screening viral and COVID-19 pneumonia?

MEH Chowdhury, T Rahman, A Khandakar… - Ieee …, 2020 - ieeexplore.ieee.org
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused
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

F Ucar, D Korkmaz - Medical hypotheses, 2020 - Elsevier
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 …

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 …