scholarly journals Watermarking System for the Security of Medical Image Databases used in Telemedicine

2016 ◽  
Vol 8 (3) ◽  
pp. 88-97 ◽  
Author(s):  
Fawaz Waselallah Alsaade
Keyword(s):  
Medical Image ◽  
Image Databases

Region Based Classification Algorithm for Medical Image Databases

2014 ◽  
Vol 15 (3) ◽  
pp. 141-144
Author(s):  
R.Krishnam Raju ◽  
◽  
B Jyothi ◽  
Y.Madhavee Latha
Keyword(s):  
Medical Image ◽  
Classification Algorithm ◽  
Image Databases

Min-max compression methods for medical image databases

1997 ◽  
Vol 26 (1) ◽  
pp. 47-52 ◽  
Author(s):  
Kosmas Karadimitriou ◽  
John M. Tyler
Keyword(s):  
Medical Image ◽  
Image Databases

scholarly journals Combined semantic and similarity search in medical image databases

2011 ◽  
Author(s):  
Sascha Seifert ◽  
Marisa Thoma ◽  
Florian Stegmaier ◽  
Matthias Hammon ◽  
Martin Kramer ◽  
...  
Keyword(s):  
Similarity Search ◽  
Medical Image ◽  
Image Databases

Re-embedding vs. clustering as shape indexing strategies for medical image databases

2005 ◽  
Author(s):  
Xiaoning Qian ◽  
Hemant D. Tagare ◽  
Robert K. Fulbright
Keyword(s):  
Medical Image ◽  
Image Databases ◽  
Shape Indexing

Hierarchical feature clustering for content-based retrieval in medical image databases

2003 ◽  
Author(s):  
Christian Thies ◽  
Adam Malik ◽  
Daniel Keysers ◽  
Michael Kohnen ◽  
Benedikt Fischer ◽  
...  
Keyword(s):  
Medical Image ◽  
Image Databases ◽  
Content Based Retrieval ◽  
Feature Clustering

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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