Mass detection in mammograms using ga based PCA and Haralick features selection

Many existing researches utilized different types of feature extraction techniques to detect masses in ROI images. Based on our observations, inclusion of additional features beyond a certain point worsens the performance rather than enhancing it. This paper describes a hybrid method of mammogram re...

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Bibliographische Detailangaben

Hauptverfasser:	Amroabadi, SayedMasoud Hashemi, Ahmadzadeh, Mohammad Reza, Hekmatnia, Ali
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Classification algorithms co-occurrence matrices component analysis Digital mammography Feature extraction Genetic algorithm Genetic algorithms Lesions Principal component analysis Support vector machine classification
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