Feature Extraction in Mammograms Using NSCT and LAWS Texture Analysis Approach.
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 8
Abstract
Breast cancer is one of the significant reasons of deaths among women. Many techniques have been developed to detect and diagnose the disease, but it have not improved any results among the number of deaths this disease have been caused. Thus the early detection and diagnoses is the only way to prevent from death. Earlier the radiologist used to manually check for the signs of cancer in the mammogram images, but it never provided with efficient results. Hence in this paper we have implemented a new technique to detect and diagnose the breast cancer using image processing techniques such as LAWS texture technique and KNN technique for classification purpose which provide us with much reliable results.
Authors and Affiliations
Michelle Dcruz, Dr. Tanuja Sarode
Keywords
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- EP ID EP392087
- DOI 10.9790/9622-0708066163.
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