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PERFORMANCE ANALYSIS OF DISTANCE MEASURES FOR MEDICAL IMAGE SEGMENTATION

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.6, No. 12)

Publication Date:

Authors : ; ;

Page : 164-171

Keywords : k-means clustering; image segmentation; Euclidean distance; Manhattan distance.;

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Abstract

Method proposed use the k-means clustering algorithm with hybrid mathematical law derived from the laws of former scientists that extracts the least distance to segmentation for medical image containing the disease . Proposed method evaluation is based on the comparison with the results of skin cancer images in previous researches using performance criteria sensitivity , specificity ,accuracy .in our research we obtained the following criteria .accuracy 94.28%,specificity 93.75%,sensitivity 100% with 2 false diagnosis of the 35 samples

Last modified: 2017-12-19 19:32:59