Transfer learning for medical image classification: a literature review

HE Kim, A Cosa-Linan, N Santhanam, M Jannesari… - BMC medical …, 2022 - Springer
Background Transfer learning (TL) with convolutional neural networks aims to improve
performances on a new task by leveraging the knowledge of similar tasks learned in …

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda

Y Kumar, A Koul, R Singla, MF Ijaz - Journal of ambient intelligence and …, 2023 - Springer
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …

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 developing new medical image
processing algorithms, and deep learning based models have been remarkably successful …

A review on deep learning in medical image analysis

S Suganyadevi, V Seethalakshmi… - International Journal of …, 2022 - Springer
Ongoing improvements in AI, particularly concerning deep learning techniques, are
assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the …

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 …

Aging in COVID-19: Vulnerability, immunity and intervention

Y Chen, SL Klein, BT Garibaldi, H Li, C Wu… - Ageing research …, 2021 - Elsevier
The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic was first
reported in Wuhan, China in December 2019, moved across the globe at an unprecedented …

Transfer learning techniques for medical image analysis: A review

P Kora, CP Ooi, O Faust, U Raghavendra… - Biocybernetics and …, 2022 - Elsevier
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …

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 …

[HTML][HTML] A review of deep learning-based detection methods for COVID-19

N Subramanian, O Elharrouss, S Al-Maadeed… - Computers in Biology …, 2022 - Elsevier
COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …

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 …