文章基本信息

标题：Textural Features Based Breast Cancer Detection: A Survey
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作者：Anupa Maria Sabu ; D.Narain Ponraj ; Poongodi 等
期刊名称：Journal of Emerging Trends in Computing and Information Sciences
电子版ISSN：2079-8407
出版年度：2012
卷号：3
期号：9
页码：1329-1334
出版社：ARPN Publishers
摘要：Breast cancer is a major cause of cancer deaths among women. Early detection plays an important role for improving breast cancer prognosis. Mammography is used to demonstrate the presence of breast cancer and to identify the size and location of tumor cells. Texture analysis refers to a procedure or a model that characterizes the spatial variation within the image by extracting information. In this paper we discussed various methods of texture analysis for mass detection and micro calcification in mammography and we also identified the texture features obtained.
关键词：Breast cancer; Mammography; GLCM; GLRLM; LBP; Gray level difference statistics; Laws’ texture measure; Fractal based texture analysis.