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 …

Advances in medical image analysis with vision transformers: a comprehensive review

R Azad, A Kazerouni, M Heidari, EK Aghdam… - Medical Image …, 2024 - Elsevier
The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study

MH Nadimi-Shahraki, H Zamani, S Mirjalili - Computers in biology and …, 2022 - Elsevier
The whale optimization algorithm (WOA) is a prominent problem solver which is broadly
applied to solve NP-hard problems such as feature selection. However, it and most of its …

[HTML][HTML] Transformers in medical image analysis

K He, C Gan, Z Li, I Rekik, Z Yin, W Ji, Y Gao, Q Wang… - Intelligent …, 2023 - Elsevier
Transformers have dominated the field of natural language processing and have recently
made an impact in the area of computer vision. In the field of medical image analysis …

A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation

H Jiang, Z Diao, T Shi, Y Zhou, F Wang, W Hu… - Computers in Biology …, 2023 - Elsevier
Deep learning-based methods have become the dominant methodology in medical image
processing with the advancement of deep learning in natural image classification, detection …

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

T Rahman, A Khandakar, Y Qiblawey, A Tahir… - Computers in biology …, 2021 - Elsevier
Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-
19) has become a necessity to prevent the spread of the virus during the pandemic to ease …

Deep learning based detection and analysis of COVID-19 on chest X-ray images

R Jain, M Gupta, S Taneja, DJ Hemanth - Applied Intelligence, 2021 - Springer
Covid-19 is a rapidly spreading viral disease that infects not only humans, but animals are
also infected because of this disease. The daily life of human beings, their health, and the …

[HTML][HTML] Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases

DM Ibrahim, NM Elshennawy, AM Sarhan - Computers in biology and …, 2021 - Elsevier
Abstract Corona Virus Disease (COVID-19) has been announced as a pandemic and is
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …

Inf-net: Automatic covid-19 lung infection segmentation from ct images

DP Fan, T Zhou, GP Ji, Y Zhou, G Chen… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to
face an existential health crisis. Automated detection of lung infections from computed …

COVID-19 detection through transfer learning using multimodal imaging data

MJ Horry, S Chakraborty, M Paul, A Ulhaq… - Ieee …, 2020 - ieeexplore.ieee.org
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how transfer learning from deep …