Shape Analysis and Classification of Masses in Mammographic Images using Neural Networks (CROSBI ID 574229)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tralić, Dijana ; Božek, Jelena ; Grgić, Sonja
engleski
Shape Analysis and Classification of Masses in Mammographic Images using Neural Networks
Shape analysis of masses in mammographic images includes representation of mass contour and shape factors which are important features for distinguishing between benign and malignant masses. Three shape factors, namely compactness, moments and Fourier descriptors were calculated and used for the classification. Classification was performed using two types of neural networks: single layer and multilayer perceptron. Area under the ROC curve of Az = 0.9528 was achieved using perceptron with 1000 epochs and using all shape factors. Multilayer perceptron with 1000 epochs and all shape factors achieved better classification results and area under the ROC curve of Az = 0.9988.
mammographic image; shape analysis; shape factors; classification; neural network
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Podaci o prilogu
247-251.
2011.
objavljeno
Podaci o matičnoj publikaciji
PROCEEDINGS IWSSIP 2011
Zovko-Cihlar, Branka ; Behlilović, Narcis ; Hadžialić, Mesud
Sarajevo: Faculty of Electrical Engineering, University of Sarajevo
978-9958-9966-1-0
Podaci o skupu
18th International Conference on Systems, Signals and Image Processing - IWSSIP 2011
predavanje
16.07.2011-18.07.2011
Sarajevo, Bosna i Hercegovina