期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：1
页码：76-79
语种：English
出版社：Ayushmaan Technologies
摘要：Cancer is a general term that refers to cells that grow and multiply out of control and possibly spread to other parts of the body. Breast cancer continues to be a significant public health problem in the world. Breast cancer is a malignant cell growth in the breast and if left untreated the cancer spreads to other areas of the body. The incidence of breast cancer rises after age forty. The highest incidence approximately 80% of invasive cases occurs in women over age fifty. According to a survey, the life time probability of developing breast cancer is 1 in 8 and the probability of death due to breast cancer is 1 in 26. Segmentation of a mass is an essential preliminary step for automated detection. Mass segmentation remains a difficult task due to both variability of the shape and variation in the image quality. The mass detection is an essential step in breast cancer detection which is used mostly to assist the radiologist for second opinion. Because their judgment depends on training, experience and subjective criteria. Approximately 1/3rd of mammography image has dark background which does not provide any information about diagnosis. Inspite of the most complex algorithm developed mass segmentation continues being too dependent on application. In the recent years there has been fair amount of research has been done on breast cancer detection but the mass detection continues to be a hot area of research due to varying shape, sizes and margins of masses. Several breast segmentation techniques has been developed but the researches for better segmentation of masses and its feature extraction has shown that it suffers from then limitation of finding the pixels with highest intensity. The mass segmentation using the present techniques give better result in terms of visual quality, in general the more accurate the segmentation better the chances to retrieve the area showing the signs of malignancy.
关键词：Mammography;Segmentation of Mass;Calculate Centroid in ROI
