Attention-enhanced architecture for improved pneumonia detection in chest X-ray images

Attention-enhanced architecture for improved pneumonia detection in chest X-ray images

Abstract In this paper, we propose an attention-enhanced architecture for improved pneumonia detection in chest X-ray images. A unique attention mechanism is integrated with ResNet to highlight salient features crucial for pneumonia detection. Rigorous evaluation demonstrates that our attention mech...

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Bibliographic Details
Main Author: Dikai Li
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Medical Imaging
Subjects:
Pneumonia detection
Attention-enhanced architecture
Imbalanced training samples
Medical imaging
Online Access:https://doi.org/10.1186/s12880-023-01177-1

Internet

https://doi.org/10.1186/s12880-023-01177-1

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