Abstract
English
Highlights
Breast cancer is one of the leading causes of death for women
We have suggested [12,13,14] earlier shape similarity measure μ to find out the prognosis of diseases where the idea of shape similarity measure has been implemented by minimization of distance function D between the contours of tumor lesions and the model
Shape based boundary features and texture features have been extracted from region of interest ROI of tumor mass and which are fed to the classifier developed using adaptive neuro fuzzy based techniques
Summary
Breast cancer is one of the leading causes of death for women. Women have better chance to survive if breast cancer can be detected early. We have suggested [12,13,14] earlier shape similarity measure μ to find out the prognosis of diseases where the idea of shape similarity measure has been implemented by minimization of distance function D between the contours of tumor lesions and the model These measurements give the indication of benignancy or malignancy of tumor lesions from a conventional coarse grading to a finer grading. Bruce et al [17] reported the results of applying multiresolution techniques to the problem of tumor mass classification They utilized discrete wavelet transform modulus-maxima method for the extraction of mammographic mass shape features. The method has Bioinfo Publications, International Journal of Bioinformatics Research, ISSN: 0975–3087, Volume 1, Issue 2, 2009
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