Article ID Journal Published Year Pages File Type
4219352 Academic Radiology 2008 17 Pages PDF
Abstract
Unlike most segmentation methods that require some degree of manual intervention, our segmentation algorithm is fully automated and highly accurate in identifying regions of brain asymmetry. This approach is attractive for numerous neurologic applications where the operator's intervention should be minimal or null.
Related Topics
Health Sciences Medicine and Dentistry Radiology and Imaging
Authors
, , , , , , , , ,