Title :
Advanced characterization of microscopic Kidney biopsies utilizing image analysis techniques
Author :
Goudas, T. ; Doukas, Charalampos ; Chatziioannou, Aristotelis ; Maglogiannis, Ilias
Author_Institution :
Dept. of Comput. Sci. & Biomed. Inf., Univ. of Central Greece, Lamia, Greece
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
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.
Keywords :
Java; biomedical optical imaging; diseases; estimation theory; image segmentation; kidney; medical image processing; optical microscopy; ImageJ; Java; RapidMiner; automatic segmentation; custom code based implementation; image analysis techniques; integrated system; manual segmentation; microscopic kidney biopsy; obstructive nephropathy; open source tools; pathogenesis estimation; pathology; salient region annotation; salient region identification; Accuracy; Biomedical imaging; Image segmentation; Kidney; Liver; Microscopy; Support vector machines; Algorithms; Artificial Intelligence; Biopsy; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Kidney Diseases; Microscopy; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346945
