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» An Automatic Classification System Applied in Medical Images
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MICCAI
2006
Springer
15 years 10 months ago
An Approach for the Automatic Cephalometric Landmark Detection Using Mathematical Morphology and Active Appearance Models
Cephalometric analysis of lateral radiographs of the head is an important diagnosis tool in orthodontics. Based on manually locating specific landmarks, it is a tedious, time-consu...
Mariano Alcañiz Raya, Sylvia Rueda
ISBI
2009
IEEE
15 years 4 months ago
X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation
We present an efficient image categorization and retrieval system applied to medical image databases, in particular large radiograph archives. The methodology presented is based ...
Uri Avni, Hayit Greenspan, Michal Sharon, Eli Kone...
IPMI
2003
Springer
15 years 10 months ago
Feature Selection for Shape-Based Classification of Biological Objects
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
Paul A. Yushkevich, Sarang C. Joshi, Stephen M. Pi...
CBMS
2003
IEEE
15 years 3 months ago
Integrating CBR into the Health Care Organization
The market for health care systems supporting physicians and improving their daily routine is steadily growing. The development of these systems requires handling medical knowledg...
Fábio Alexandrini, Dirk Krechel, Kerstin Ma...
ICASSP
2011
IEEE
14 years 1 months ago
Marker-based Hierarchical Segmentation and classification approach for hyperspectral imagery
The Hierarchical SEGmentation (HSEG) algorithm, which is a combination of hierarchical step-wise optimization and spectral clustering, has given good performances for hyperspectra...
Yuliya Tarabalka, James C. Tilton, Jon Atli Benedi...