Abstract
This paper describes the basis and behavior of segmentation of single figures in 3D by deformable m-reps models. Results are given for the segmentation of kidneys from CT and of hippocampi from MR images. Special focus is made on multi-scale-level stages of segmentation, on intrinsic correspondences under deformation that are provided by m-reps, and on the match against model-relative templates provided by both theoretical edge strength templates and templates derived from training images.
Cite
CITATION STYLE
Pizer, S. M., Joshi, S., Thomas Fletcher, P., Styner, M., Tracton, G., & Chen, J. Z. (2001). Segmentation of single-figure objects by deformable M-reps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2208, pp. 862–871). Springer Verlag. https://doi.org/10.1007/3-540-45468-3_103
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