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» Using Ontologies for Medical Image Retrieval - An Experiment
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ISMIS
1997
Springer
14 years 26 days ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
VISSYM
2004
13 years 10 months ago
Medical Applications of Multi-field Volume Rendering and VR Techniques
This paper reports on a new approach for visualizing multi-field MRI or CT datasets in an immersive environment with medical applications. Multi-field datasets combine multiple sc...
Joe Kniss, Jürgen P. Schulze, Uwe Wössne...
KCAP
2009
ACM
14 years 3 months ago
Formally measuring agreement and disagreement in ontologies
Ontologies are conceptual models of particular domains, and domains can be modeled differently, representing different opinions, beliefs or perspectives. In other terms, ontolog...
Mathieu d'Aquin
ICPR
2002
IEEE
14 years 9 months ago
Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps
The MPEG-7 standard is emerging as both a general framework for content description and a collection of specific, agreed-upon content descriptors. We have developed a neural, self...
Markus Koskela, Jorma Laaksonen, Erkki Oja
ICIP
2001
IEEE
14 years 10 months ago
A scalable integrated region-based image retrieval system
In this paper, we present a scalable algorithm for indexing and retrieving images based on region segmentation. The method uses statistical clustering on region features and IRM (...
Yanping Du, James Ze Wang