title: An open data mining framework for the analysis of medical images: application on obstructive nephropathy microscopy images.
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.
authors.affiliation: University of the Aegean, Samos, Greece. doukas@aegean.gr
authors.forename: Charalampos
authors.initials: C
authors.lastname: Doukas
authors.forename: Theodosis
authors.initials: T
authors.lastname: Goudas
authors.forename: Simon
authors.initials: S
authors.lastname: Fischer
authors.forename: Ingo
authors.initials: I
authors.lastname: Mierswa
authors.forename: Aristotle
authors.initials: A
authors.lastname: Chatziioannou
authors.forename: Ilias
authors.initials: I
authors.lastname: Maglogiannis
mesh_terms: D006801:Humans; D016247:Information Storage and Retrieval; D007674:Kidney Diseases / Q000000981:diagnostic imaging*; D011859:Radiography