Comput. Biol. Med. - Contourlet-based mammography mass classification using the SVM family.

Tópicos

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Resumo

This paper is concerned with the design and development of an automatic mass classification of mammograms. The proposed method consists of three stages. In the first stage, preprocessing is performed to remove the pectoral muscles and to segment regions of interest. In the next stage contourlet transform is employed as a feature extractor to obtain the contourlet coefficients. This stage is completed by feature selection based on the genetic algorithm, resulting in a more compact and discriminative texture feature set. This improves the accuracy and robustness of the subsequent classifiers. In the final stage, classification is performed based on successive enhancement learning (SEL) weighted SVM, support vector-based fuzzy neural network (SVFNN), and kernel SVM. The proposed approach is applied to the Mammograms Image Analysis Society dataset (MIAS) and classification accuracies of 96.6%, 91.5% and 82.1% are determined over an efficient computational time by SEL weighted SVM, SVFNN and kernel SVM, respectively. Experimental results illustrate that the contourlet-based feature extraction in conjunction with the state-of-art classifiers construct a powerful, efficient and practical approach for automatic mass classification of mammograms.

Resumo Limpo

paper concern design develop automat mass classif mammogram propos method consist three stage first stage preprocess perform remov pector muscl segment region interest next stage contourlet transform employ featur extractor obtain contourlet coeffici stage complet featur select base genet algorithm result compact discrimin textur featur set improv accuraci robust subsequ classifi final stage classif perform base success enhanc learn sel weight svm support vectorbas fuzzi neural network svfnn kernel svm propos approach appli mammogram imag analysi societi dataset mia classif accuraci determin effici comput time sel weight svm svfnn kernel svm respect experiment result illustr contourletbas featur extract conjunct stateofart classifi construct power effici practic approach automat mass classif mammogram

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