DocumentCode
2942376
Title
An open data mining framework for the analysis of medical images: Application on Obstructive Nephropathy microscopy images
Author
Doukas, Charalampos ; Goudas, Theodosis ; Fischer, Simon ; Mierswa, Ingo ; Chatziioannou, Aristotle ; Maglogiannis, Ilias
Author_Institution
Univ. of the Aegean, Samos, Greece
fYear
2010
fDate
Aug. 31 2010-Sept. 4 2010
Firstpage
4108
Lastpage
4111
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.
Keywords
Web services; biomedical optical imaging; data mining; diseases; feature extraction; kidney; medical image processing; public domain software; Rapid-Miner; Web services; automated kidney biopsy image characterization; feature extraction operators; image processing operators; medical image analysis; medical image characterization; obstructive nephropathy microscopy images; open data mining framework; open image mining framework; open source data mining system; Biomedical imaging; Biopsy; Data mining; Feature extraction; Kidney; Web services; Humans; Information Storage and Retrieval; Kidney Diseases;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location
Buenos Aires
ISSN
1557-170X
Print_ISBN
978-1-4244-4123-5
Type
conf
DOI
10.1109/IEMBS.2010.5627332
Filename
5627332
Link To Document