Learning from the expert: Improving boundary definitions in biomedical imagery

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2773 PART 1, Issue , 2003, Pages 653-659

  Stewart, Crawford Hines ^a  

^a Department of Environmental and Radiological Health Sciences   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; BIOMEDICAL ENGINEERING; EDGE DETECTION; EXPERT SYSTEMS; INTELLIGENT CONTROL; AUTOMATIC GUIDED VEHICLES; IMAGE PROCESSING; IMAGE SEGMENTATION;

ACTIVE CONTOUR MODELS; BIOMEDICAL IMAGERY; INTELLIGENT SCISSORS;

MEDICAL IMAGING; KNOWLEDGE BASED SYSTEMS;

ACTIVE CONTOUR MODEL; BIOMEDICAL IMAGERY; BOUNDARY DEFINITION; BOUNDARY TRACING; FULLY AUTOMATED; INTELLIGENT SCISSORS; REAL-WORLD PROBLEM; REGIONS OF INTEREST;

EID: 8344246964     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. S. Crawford-Hines &C. Andersen, "Learning Expert Delineations in Biomedical Image Segmentation", ANNIE 2000 - Artificial Neural Networks In Engineering, November 2000.
2. E.N. Mortensen &W.A. Barrett, "Interactive Segmentation with Intelligent Scissors", Graphical Models and Image Processing, v.60, 1998, pp.349-384.
3. M. Kass, A. Witkin, D. Terzopoulos, "Snakes: Active Contour Models", First International Conference on Computer Vision, 1987, pp.259-268.
4. National Library of Medicine, as of Jan 2001: http://www.nlm.nih.gov/ research/visible