Title :
Machine-learned contours to assist boundary tracing tasks
Author :
Crawford-Hines, Stewart ; Anderson, Charles
Author_Institution :
Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA
Abstract :
The authors´ focus is to assist interactively in the initial segmentation of medical imagery. In near-real-time, from an initial set of pixels traced, the authors´ system learns the characteristics of a contour being traced and projects ahead the trace. This paper provides an overview of their approach, presents promising results, and outlines their research directions
Keywords :
biomedical NMR; edge detection; image segmentation; medical image processing; boundary tracing tasks assistance; brain MRI; contour tracing; machine-learned contours; medical diagnostic imaging; medical imagery segmentation; research directions; Biomedical imaging; Computer science; Filtering; Focusing; Humans; Image edge detection; Image segmentation; Magnetic resonance imaging; Manuals; Real time systems;
Conference_Titel :
Image Analysis and Interpretation, 1998 IEEE Southwest Symposium on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-4876-1
DOI :
10.1109/IAI.1998.666890
