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An open data mining framework for the analysis of medical images: Application on Obstructive Nephropathy microscopy images

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Autore
Doukas, C.; Goudas, T.; Fischer, S.; Mierswa, I.; Chatziioannou, A.; Maglogiannis, I.
Data
2010
DOI
10.1109/IEMBS.2010.5627332
Soggetto
Classification results
Image-Mining
Medical images
Microscopy images
Nephropathy
Open sources
Salient objects
Tools and methods
Work-flows
Data mining
Feature extraction
Image processing
Medical computing
Open systems
Web services
Medical imaging
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Abstract
This paper presents an open image-mining framework that provides access to tools and methods for the characterization of medical images. Several image processing and feature extraction operators have been implemented and exposed through Web Services. Rapid-Miner, an open source data mining system has been utilized for applying classification operators and creating the essential processing workflows. The proposed framework has been applied for the detection of salient objects in Obstructive Nephropathy microscopy images. Initial classification results are quite promising demonstrating the feasibility of automated characterization of kidney biopsy images. © 2010 IEEE.
URI
http://hdl.handle.net/11615/27174
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