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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Bibliographic Details

Main Authors:	Ding, Zeyu, Yaakob, Razali, Tieng Wei, Koh, Azman, Azreen, Mohd Rum, Siti Nurulain, Zakaria, Nor Fadhlina, Ahmad Nazri, Azree Shahril
Format:	Article
Language:	en
Published:	Institute of Electrical and Electronics Engineers 2026
Subjects:	Computer Science (all) Materials Science (all)
Online Access:	http://psasir.upm.edu.my/id/eprint/123444/1/123444.pdf http://psasir.upm.edu.my/id/eprint/123444/ https://ieeexplore.ieee.org/document/11328080/
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