A Review on Automatic Detection Method Of Leukaemia By Using Segmentation Method
Keywords:
HSV color Transform, Extract Saturation Component, Fuzzy C-means clustering on HSV transformed Image, Gradient Based Watershed Transformation etc.Abstract
Morphological medical diagnosis of the bloodstream and bone marrow smear beneath the microscope is a crucial preliminary part of the diagnosis of severe leukaemia. The features and differential counts of the cells furnish beneficial information to the consultant to verify the diagnosis and get started treatment, increasing the opportunity of survival of the individual thus. Manual diagnosis procedures tend to be tedious, labour intensive and frustrating. A computerised system might help accelerating the morphological medical diagnosis process. The proposed approach contains gradient magnitude, thresholding, morphological functions and watershed transform to execute cells segmentation. 50 pictures from subtypes M2, M5 and M6 had been used to check the proposed approach and the effect showed that the technique were able to obtain qualitatively very good segmentation outcomes. The segmentation reliability for the tested impression is 94.5% as the overage accuracies for the various other subtypes are 94.58%, 95.06% and 95.65% respectively.
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