Multi-slices breast ultrasound lesion segmentation using Multi-Scale Vector Field Convolution snake
Olfa Ben Sassi, Lamia Sellami, Mohamed Ben Slima, Ahmed Ben Hamida, Khalil Chtourou · 2014
This study aims to apply a novel method called Multi-scale Vector Field Convolution Snake (MVFC) to segment breast ultrasound images using all slices presenting the lesion. The key idea is to combine the Vector Field Convolution Snake (VFC) method with a two-dimensional Gaussian filter with variable standard deviations in order to make snake models less sensitive to speckle noise and to contrast quality. Experimental results show that the form of the lesion changes from one slice to another which allows achieving greater precision in the extraction of the lesion characteristics.