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Abstract: This paper presents a brief survey of several models representing anatomical knowledge and applicable in medical image understanding. The models include high-level symbolic model, statistically trained Point Distribution Model, and models based on geometric primitives - superquadrics. Properties of the models are discussed. Finaly, combined model implementation is presented. (Update)
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BibTeX entry: (Update)
Mrazek:sscg95,
author = "P. Mrazek and P. Felkel and L. Sykora",
title = "{Model-Based Segmentation of Medical Images}",
key = "virtmed, virtual reality, medicine",
pages = "DM.22--DM.31",
booktitle = "Proceedings of 11th Spring School on Computer
Graphics (SSCG'95)",
year = 1995,
editor = "T. Plachetka",
address = "Bratislava, Slovakia",
month = may,,
url = "citeseer.ist.psu.edu/282390.html" }
Citations (may not include all citations):202 The use of active shape models for locating structures in me.. - Cootes, Hill et al.
149 models with local and global deformations: Deformable superq.. (context) - Terzopulos, Metaxas - 1991
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48 Active shape models -- smart snakes - Cootes, Taylor - 1992
31 Model-based interpretation of 3D medical images - Hill, Thornham et al. - 1993
17 Object recognition by flexible template matching using genet.. (context) - Hill, Taylor et al. - 1992
4 Anatomical object recognition using deformable geometric mod.. (context) - Delibasis, Undrill - 1994
3 Multi-resolution stochastic 3-D shape models for image segme.. (context) - Vemuri, Radisavljevic et al.
2 Information Processing in Medical Imaging (context) - Gmitro - 1993
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