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Harnessing semi-supervised graph-based learning to advance automated bacilli detection in digital tuberculosis microscopy with limited expert annotations

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Automated acid-fast bacilli (AFB) detection with digital microscopy is important for the improvement of tuberculosis diagnosis in communities or populations where expert annotations are not available. In this paper, we propose a semi-supervised graph-based lea... ...