A new medical decision system to identify breast cancer

Norhene Gargouri Ben Ayed,Malek Gargouri Larousi,Alima Dammak Masmoudi,Dorra Sellami Masmoudi,Riadh Abid

Computer Applications and Information Systems（2014）

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摘要

An improved computer system has been presented to classify the mass and identify the different stages of breast cancer using artificial neural network (ANN). In this paper, we extract texture and shape features. The accuracy of the proposed system is 99.5%. The images from Farabi digital database for screening mammography have been applied for the development of the proposed system. This later may provide precious information to radiologists.

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关键词

cancer,feature extraction,image classification,image denoising,image enhancement,image texture,mammography,medical image processing,neural nets,ann,farabi digital database,artificial neural network,breast cancer identification,computer system,mass classification,medical decision system,screening mammography,shape feature extraction,texture feature extraction,breast cancer,image denoising and enhancement,mammogram,satges

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