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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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6 Author(s)
Charalampos Doukas ; University of the Aegean, Samos, Greece ; Theodosis Goudas ; Simon Fischer ; Ingo Mierswa
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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.

Published in:

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

Date of Conference:

Aug. 31 2010-Sept. 4 2010