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Semi-Automated Quantitative Validation Tool for Medical Image Processing Algorithm Development

  • Viktor Zoltan JonasEmail author
  • Miklos Kozlovszky
  • Bela Molnar
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 450)

Abstract

Cancer research and diagnostics is an important frontier to apply the power of computers. Researchers use image processing techniques for a few years now, but diagnostics only start to explore its possibilities. Pathologists specialized in this area usually diagnose by visual inspection, typically through a microscope, or more recently on a computer screen. They examine at tissue specimen or a sample consisting of a population cells extracted from it. The latter area is the area of cytometry that researchers started to support by creating image processing algorithms. The validation of an image processing approach like that is an expensive task both financially and time-wise. This paper aims to show a semi-automatized method to simplify this task, by reducing the amount of human interaction necessary.

Keywords

Validation tool Automated validation Medical image processing 

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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Viktor Zoltan Jonas
    • 1
    Email author
  • Miklos Kozlovszky
    • 2
    • 3
  • Bela Molnar
    • 4
  1. 1.Doctoral School of Applied InformaticsÓbuda UniversityBudapestHungary
  2. 2.Biotech Knowledge CenterÓbuda UniversityBudapestHungary
  3. 3.MTA SZTAKI/Laboratory of Parallel and Distributed ComputingBudapestHungary
  4. 4.Second Department of Internal MedicineSemmelweis UniversityBudapestHungary

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