Intelligent planning of biomedical image mining workflows

Abstract

The analysis and characterization of biomedical image data is a complex procedure involving several processing phases, like data acquisition, preprocessing, segmentation, feature extraction and classification. The proper combination and parameterization of the utilized methods are heavily relying on the given image data set and experiment type and may thus require advanced image processing and classification knowledge from the side of the biomedical expert. In this work, an application, exploiting web services and applying ontological modeling, is presented, to enable the intelligent creation of image mining workflows. The described tool can be directly integrated to the Rapid-Miner or similar workflow management platforms. A case study dealing with the creation of a sample workflow for kidney biopsy microscopy images analysis is presented to demonstrate the functionality of the proposed framework. © 2010 IEEE.