The global shape prior knowledge has been exploited by many image segmentation approaches in order to improve segmentation results when there are such problems as occlusion, clutt...
Quantification and visualization of anatomical shape variability in different populations is essential for diagnosis and tracking progression of diseases. We present a new 3D med...
Standard practice in quantitative structural neuroimaging is a segmentation into brain tissue, subcortical structures, fluid space and lesions followed by volume calculations of gr...
Guido Gerig, Martin Styner, Martha Elizabeth Shent...
—The paper presents a new transform, called Vector– Gradient Hough Transform, for identifying elongated shapes in grayscale images. This goal is achieved not only by collecting...
In this paper, we present an approach to incorporating partial geometric information into a local feature-based The distance-supported shape index is proposed for the representatio...