TITLE

Texture Analysis of Mammographic images

PUB. DATE
August 2010
SOURCE
International Journal of Computer Applications;Aug2010, Vol. 5, p12
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The article focuses on the comparison between gray-level texture and Wavelet coefficient texture methods in analyzing and classifying mammographic images of breast cancer. It notes that the probabilistic neural network (PNN) was used to conduct performance evaluation of classification. It concludes that the high performance is detected through the proposed combination system of the gray-level texture and Wavelet coefficient texture methods.
ACCESSION #
73914575

 

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