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 …

Recent advances and clinical applications of deep learning in medical image analysis

X Chen, X Wang, K Zhang, KM Fung, TC Thai… - Medical image …, 2022 - Elsevier
Deep learning has received extensive research interest in develo** new medical image
processing algorithms, and deep learning based models have been remarkably successful …

Vision Transformers in medical computer vision—A contemplative retrospection

A Parvaiz, MA Khalid, R Zafar, H Ameer, M Ali… - … Applications of Artificial …, 2023 - Elsevier
Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey

S Bhattacharya, PKR Maddikunta, QV Pham… - Sustainable cities and …, 2021 - Elsevier
Since December 2019, the coronavirus disease (COVID-19) outbreak has caused many
death cases and affected all sectors of human life. With gradual progression of time, COVID …

A weakly-supervised framework for COVID-19 classification and lesion localization from chest CT

X Wang, X Deng, Q Fu, Q Zhou, J Feng… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely
quarantine and medical treatment. Develo** a deep learning-based model for automatic …

Deep learning-based detection for COVID-19 from chest CT using weak label

C Zheng, X Deng, Q Fu, Q Zhou, J Feng, H Ma, W Liu… - MedRxiv, 2020 - medrxiv.org
Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely
quarantine and medical treatment. Develo** a deep learning-based model for automatic …

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

C **, 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 …

Medical image analysis based on deep learning approach

M Puttagunta, S Ravi - Multimedia tools and applications, 2021 - Springer
Medical imaging plays a significant role in different clinical applications such as medical
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

D Ardila, AP Kiraly, S Bharadwaj, B Choi, JJ Reicher… - Nature medicine, 2019 - nature.com
With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer
death in the United States. Lung cancer screening using low-dose computed tomography …

Deep learning for multigrade brain tumor classification in smart healthcare systems: A prospective survey

K Muhammad, S Khan, J Del Ser… - … on Neural Networks …, 2020 - ieeexplore.ieee.org
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade
recognition is a challenging problem for radiologists in health monitoring and automated …