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Detection of mycobacterium tuberculosis in tissue using k-Nearest neighbour and fuzzy k-Nearest neighbour classifiers
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
Early detection and treatment are the most promising way to increase a patient's chance
of survival from TB disease, reduce the duration and cost of treatment, and prevent the disease from
spreading. Currently, microscopic ...
Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection
(Universiti Malaysia Perlis, 2009-10-11)
Tuberculosis is a serious disease caused by infection with the germ Mycobacterium tuberculosis. Sputum sample analysis is a common method for TB bacilli detection. In some cases, tissue from the suspected system is also ...
Colour image segmentation of tuberculosis bacilli in Ziehl-Neelsen-stained tissue images using moving K-Mean clustering procedure
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05)
Segmentation of tuberculosis bacilli in Zeihl-Neelsen tissue slide images is a crucial step in
computerassisted tuberculosis bacilli detection. In this paper, an automatic colour image
segmentation using moving k-mean ...