Medical Image Rendering and Description Driven by Semantic Annotations

2013 ◽  
pp. 123-149 ◽  
Author(s):  
Alexandra La Cruz ◽  
Alexander Baranya ◽  
Maria-Esther Vidal
Keyword(s):  
Medical Image ◽  
Image Rendering ◽  
Semantic Annotations

scholarly journals SEMANTICALLY INTEROPERABLE XML DATA

2013 ◽  
Vol 07 (03) ◽  
pp. 237-255 ◽  
Author(s):  
CRISTOBAL VERGARA-NIEDERMAYR ◽  
FUSHENG WANG ◽  
TONY PAN ◽  
TAHSIN KURC ◽  
JOEL SALTZ
Keyword(s):  
Information Exchange ◽  
Medical Image ◽  
Xml Schema ◽  
Data Sources ◽  
Grid Infrastructure ◽  
Common Data Elements ◽  
Xml Data ◽  
Web Based ◽  
Semantic Annotations ◽  
Data Elements

XML is ubiquitously used as an information exchange platform for web-based applications in healthcare, life sciences, and many other domains. Proliferating XML data are now managed through latest native XML database technologies. XML data sources conforming to common XML schemas could be shared and integrated with syntactic interoperability. Semantic interoperability can be achieved through semantic annotations of data models using common data elements linked to concepts from ontologies. In this paper, we present a framework and software system to support the development of semantic interoperable XML based data sources that can be shared through a Grid infrastructure. We also present our work on supporting semantic validated XML data through semantic annotations for XML Schema, semantic validation and semantic authoring of XML data. We demonstrate the use of the system for a biomedical database of medical image annotations and markups.

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

Detection and Classification of Brain Tumor from MRI Medical Image using Wavelet Transform and PSO based LLRBFNN Algorithm

2018 ◽  
Vol 6 (1) ◽  
pp. 18-23 ◽  
Author(s):  
T.Gopi Krishna ◽  
◽  
K.V.N. Sunitha ◽  
S. Mishra ◽  
◽  
...  
Keyword(s):  
Brain Tumor ◽  
Wavelet Transform ◽  
Medical Image
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