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Automated tuberculosis screening using Zeihl Neelson image

机译:使用Ziehl Neelsen图像自动结核病筛选

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According to WHO 2013 report, India is the highest burden country for Tuberculosis disease. Earlier diagnosis of TB may save many patient's life and their neighbor. The earlier diagnosis of TB disease is still a challenging problem in India. Zeihl Neelson(ZN) staining, a microscopic method is most common and conventional way for manual diagnosis of Tuberculosis bacteria. In this proposed work, the segmentation of tuberculosis bacilli and classification of TB-positive and negative cases are performed automatically in ZN image. Depending upon the features of bacilli, classification is done. The algorithm is implemented using MATLAB.
机译:根据2013年的报告称,印度是结核病疾病的最高负担。早期的TB诊断可能会拯救许多患者的生命和邻居。早期的TB疾病诊断仍然是印度的一个具有挑战性的问题。 Zeihl Neelson(Zn)染色,微观方法是用于手动诊断结核菌细菌的最常见和常规方式。在该拟议的工作中,在Zn图像中自动进行结核病杆菌和TB阳性和阴性病例的分类。根据Bacilli的特征,完成分类。该算法使用MATLAB实现。

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