In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...
We present a semi-automatic segmentation technique of the anatomical structures of the brain: cerebrum, cerebellum, and brain stem. The method uses graph cuts segmentation with an...
Huy-Nam Doan, Gregory G. Slabaugh, Gozde B. Unal, ...
Abstract. Intensity-based classification of MR images has proven problematic, even when advanced techniques are used. Intra-scan and interscan intensity inhomogeneities are a comm...
William M. Wells III, W. Eric L. Grimson, Ron Kiki...
This paper presents a novel hybrid segmentation technique incorporating a statistical as well as a geometric model in a unified segmentation scheme for brain tissue segmentation o...
Albert Huang, Rafeef Abugharbieh, Roger Tam, Antho...
Abstract We propose an automatic procedure for the correct segmentation of grey and white matter in MR data sets of the human brain. Our method exploits general anatomical knowledg...
Christian Wasserthal, Karin Engel, Karsten Rink, A...