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» Shape based retrieval in NHANES II
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CBMS
2009
IEEE
14 years 2 months ago
Comparative study of spine vertebra shape retrieval using learning-based feature selection
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
CBMS
2003
IEEE
14 years 23 days ago
Localizing Contour Points for Indexing an X-Ray Image Retrieval System
Vertebra shape can effectively describe various pathologies found in spine x-ray images. There are some critical regions on the shape contour which help determine whether the shap...
Xiaoqian Xu, D. J. Lee, Sameer Antani, L. Rodney L...
CBMS
2001
IEEE
13 years 11 months ago
Computer Assisted Retrieval of Biomedical Image Features from Spine X-Rays: Progress and Prospects
Image indexing for biomedical content is a prohibitively expensive task if done manually. This leads to the demand for effective automated or computer assisted indexing methods. W...
L. Rodney Long, George R. Thoma
3DIM
2007
IEEE
14 years 1 months ago
A Study of Shape Similarity for Temporal Surface Sequences of People
The problem of 3D shape matching is typically restricted to static objects to classify similarity for shape retrieval. In this paper we consider 3D shape matching in temporal sequ...
Peng Huang, Jonathan Starck, Adrian Hilton
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
14 years 27 days ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...