• DocumentCode
    2942376
  • 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
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    4108
  • Lastpage
    4111
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627332
  • Filename
    5627332