Classification of Mycobacterium tuberculosis in Images of ZN-Stained Sputum Smears

@article{Khutlang2010ClassificationOM,
  title={Classification of Mycobacterium tuberculosis in Images of ZN-Stained Sputum Smears},
  author={Rethabile Khutlang and Sriram Krishnan and Ronald Dendere and Andrew Whitelaw and Konstantinos Veropoulos and Genevieve Learmonth and Tania S. Douglas},
  journal={IEEE Transactions on Information Technology in Biomedicine},
  year={2010},
  volume={14},
  pages={949-957}
}
Screening for tuberculosis (TB) in low- and middle-income countries is centered on the microscope. We present methods for the automated identification of Mycobacterium tuberculosis in images of Ziehl-Neelsen (ZN) stained sputum smears obtained using a bright-field microscope. We segment candidate bacillus objects using a combination of two-class pixel classifiers. The algorithm produces results that agree well with manual segmentations, as judged by the Hausdorff distance and the modified… CONTINUE READING

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