2024
DOI: 10.1177/20552076241271869
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A hybrid approach for automatic segmentation and classification to detect tuberculosis

Muzammil Khan,
Abnash Zaman,
Sarwar Shah Khan
et al.

Abstract: Objective Tuberculosis (TB) remains a significant global infectious disease, posing a considerable health threat, particularly in resource-constrained regions. Due to diverse datasets, radiologists face challenges in accurately diagnosing TB using X-ray images. This study aims to propose an innovative approach leveraging image processing techniques to enhance TB diagnostic accuracy within the automatic segmentation and classification (AuSC) framework for healthcare. Methods The AuSC of detection of TB (AuSC-DT… Show more

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