Attention-enhanced hybrid CNN–LSTM network with self-adaptive CBAM for COVID-19 diagnosis

Attention-enhanced hybrid CNN–LSTM network with self-adaptive CBAM for COVID-19 diagnosis

Accurate identification of COVID-19 still presents difficulties due to the limitations of RT-PCR testing, such as reduced sensitivity and restricted availability. Chest X-Ray (CXR) imaging modalities, combined with deep learning models, offer a non-invasive solution. However, baseline Convolutional...

Full description

Saved in:
Bibliographic Details
Main Authors: Fatin Nabilah Shaari, Aimi Salihah Abdul Nasir, Wan Azani Mustafa, Wan Aireene Wan Ahmed, Abdul Syafiq Abdull Sukor
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Array
Subjects:
COVID-19
Image enhancement
Deep learning
Attention mechanism
Dual-attention CNN-LSTM
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005625000517
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2590005625000517

Similar Items