An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification

2007 ◽  
Author(s):  
Jacob Goldberger ◽  
Hayit Greenspan ◽  
Jeremie Dreyfuss
Keyword(s):  
Medical Image ◽  
Image Database ◽  
Reduced Representation

scholarly journals Shape-based indexing in a medical image database

2002 ◽  
Author(s):  
Wei Zhang ◽  
S. Dickinson ◽  
S. Sclaroff ◽  
J. Feldman ◽  
S. Dunn
Keyword(s):  
Medical Image ◽  
Image Database

scholarly journals Medical Image Database on World-Wide Web Server

1996 ◽  
Vol 52 (2) ◽  
pp. 282
Author(s):  
Toshiro YAMADA ◽  
Masafumi Ohki ◽  
Takashi NAKAMURA
Keyword(s):  
World Wide Web ◽  
Medical Image ◽  
World Wide ◽  
Web Server ◽  
Image Database

scholarly journals Partitioning Medical Image Databases for Content-based Queries on a Grid

2005 ◽  
Vol 44 (02) ◽  
pp. 154-160 ◽  
Author(s):  
V. Breton ◽  
I. E. Magnin ◽  
J. Montagnat
Keyword(s):  
Theoretical Model ◽  
Image Retrieval ◽  
Medical Image ◽  
Computation Time ◽  
Image Database ◽  
Image Databases ◽  
Content Based Image Retrieval ◽  
Medical Databases ◽  
Grid Nodes ◽  
The Impact

Summary Objectives: In this paper we study the impact of executing a medical image database query application on the grid. For lowering the total computation time, the image database is partitioned into subsets to be processed on different grid nodes. Methods: A theoretical model of the application complexity and estimates of the grid execution overhead are used to efficiently partition the database. Results: We show results demonstrating that smart partitioning of the database can lead to significant improvements in terms of total computation time. Conclusions: Grids are promising for content-based image retrieval in medical databases.

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