STATISTICAL DETECTION OF BREAST CANCER BY MAMMOGRAM IMAGE

ABSTRACTObjective: To create awareness about the breast cancer which has become one of the most common diseases among women that leads to death if notrecognized at early stage.Methods: The technique of acquiring breast image is called mammography and is a diagnostic and screening tool to detect canc...

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Bibliographic Details
Published in:	Asian journal of pharmaceutical and clinical research Vol. 10; no. 1; p. 227
Main Authors:	Naseera, Shaik, Rajini, G.k., M, Saravanan
Format:	Journal Article
Language:	English
Published:	01-01-2017
Online Access:	Get full text
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Summary:	ABSTRACTObjective: To create awareness about the breast cancer which has become one of the most common diseases among women that leads to death if notrecognized at early stage.Methods: The technique of acquiring breast image is called mammography and is a diagnostic and screening tool to detect cancer. A cascade algorithmbased on these statistical parameters is implemented on these mammogram images to segregate normal, benign, and malignant diseases.Results: Statistical features - such as mean, median, standard deviation, perimeter, and skewness - were extracted from mammogram images todescribe their intensity and nature of distribution using ImageJ.Conclusion: A noninvasive technique which includes statistical features to determine and classify normal, benign, and malignant images are identified.Keywords: Breast cancer, Benign, Malignant, Mammogram image, ImageJ.
ISSN:	0974-2441 0974-2441
DOI:	10.22159/ajpcr.2017.v10i1.15003