TB-FusionNet: A Multi-Scale Feature Fusion Algorithm With Spatial and Channel Cross-Attention for Tuberculosis Detection

The lesions of tuberculosis (TB) in X-ray images are highly complex, exhibiting a variety of sizes, shapes, and structural variations. Single-scale features are insufficient to fully represent this diversity and complexity, thereby limiting the effectiveness of TB detection. As a result, multi-scale...

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Bibliografische Detailangaben

Hauptverfasser:	Zeyu Ding, Razali Yaakob, Koh Tieng Wei, Azreen Bin Azman, Siti Nurulain Binti Mohd Rum, Nor Fadhlina Binti Zakaria, Azree Shahril Ahmad Nazri
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2026-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Tuberculosis TB deep learning multi-scale feature fusion
Online-Zugang:	https://ieeexplore.ieee.org/document/11328080/
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