Fuzzy clustering for the detection of Tuberculous Meningitis from brain computed tomography scans
نویسندگان
چکیده
Computed tomography (CT) is gaining widespread usage as an aid to tuberculous meningitis (TBM) diagnosis for the examination of a number of visual indicators of the disease. We present an algorithm that uses modified fuzzy c-means clustering to segment CT images of the brain into various tissue types. The end result is that hyperdense areas of the brain are delineated, which aids the radiologist in the diagnosis of TBM.
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