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
fDate :
Aug. 31 2010-Sept. 4 2010
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627332