Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...
To better understand the development and function of the mammalian brain, researchers have begun to systematically collect a large number of gene expression patterns throughout the...
Ioannis A. Kakadiaris, Musodiq Bello, Shiva Arunac...
An automatic cortical gray matter segmentation from a three-dimensional (3-D) brain images [magnetic resonance (MR) or computed tomography] is a well known problem in medical image...
Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael...
Noble forces in image segmentation based on active contours models are proposed for capturing objects in the image. Contemplating the common functionality of forces in previous ac...