Label fusion strategies are used in multi-atlas image segmentation approaches to compute a consensus segmentation of an image, given a set of candidate segmentations produced by r...
Paul A. Yushkevich, Hongzhi Wang, John Pluta, Bria...
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...
Ennumeri A. Zanaty, Sultan Aljahdali, Narayan C. D...
Most speech enhancement algorithms heavily depend on the noise power spectral density (PSD). Because this quantity is unknown in practice, estimation from the noisy data is necess...
Richard C. Hendriks, Richard Heusdens, Jesper Jens...
Abstract. Probabilistic tractography provides estimates of the probability of a structural connection between points or regions in a brain volume, based on information from diffusi...
Jonathan D. Clayden, Martin D. King, Chris A. Cl...
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...