Double Contour Active Shape Models
Landmark
Active contour model
DOI:
10.5244/c.19.21
Publication Date:
2012-05-23T16:44:20Z
AUTHORS (4)
ABSTRACT
Statistical shape models are often learned from examples based on landmark correspondences between annotated examples. A method is proposed for learning such contours with inconsistent bifurcations and loops. It evaluated the task of segmenting tibial in knee radiographs. Results presented using various features, distance weighted K nearest neighbours differing eigenspace constraints.
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