Advanced characterization of microscopic kidney biopsies utilizing image analysis techniques.
Correct annotation and identification of salient regions in Kidney biopsy images can provide an estimation of pathogenesis in obstructive nephropathy. This paper presents a tool for the automatic or manual segmentation of such regions along with methodology for their characterization in terms of the exhibited pathology. The proposed implementation is based on custom code written in Java and the utilization of open source tools (i.e. RapidMiner, ImageJ). The corresponding implementation details along with the initial evaluation of the proposed integrated system are also presented in the paper.
University of Central Greece, Department of Computer Science and Biomedical Informatics, Greece. goudas@ucg.gr
Theodosios
T
Goudas
Charalampos
C
Doukas
Aristotle
A
Chatziioannou
Ilias
I
Maglogiannis
D000465:Algorithms; D001185:Artificial Intelligence; D001706:Biopsy / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007674:Kidney Diseases / Q000473:pathology*; D008853:Microscopy / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity