Semi-automated quantitative validation tool for medical image processing algorithm development

Viktor Zoltan Jonas, Miklos Kozlovszky, Bela Molnar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationTechnological Innovation for Cloud-Based Engineering Systems - 6th IFIPWG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015, Proceedings
EditorsLuis M. Camarinha-Matos, Thais A. Baldissera, Giovanni Di Orio, Francisco Marques
PublisherSpringer New York LLC
Pages231-238
Number of pages8
ISBN (Electronic)9783319167657
DOIs
Publication statusPublished - 2015
Event6th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015 - Costa de Caparica, Portugal
Duration: Apr 13 2015Apr 15 2015

Publication series

NameIFIP Advances in Information and Communication Technology
Volume450
ISSN (Print)1868-4238

Other

Other6th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015
CountryPortugal
CityCosta de Caparica
Period4/13/154/15/15

Keywords

  • Automated validation
  • Medical image processing
  • Validation tool

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

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  • Cite this

    Jonas, V. Z., Kozlovszky, M., & Molnar, B. (2015). Semi-automated quantitative validation tool for medical image processing algorithm development. In L. M. Camarinha-Matos, T. A. Baldissera, G. Di Orio, & F. Marques (Eds.), Technological Innovation for Cloud-Based Engineering Systems - 6th IFIPWG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015, Proceedings (pp. 231-238). (IFIP Advances in Information and Communication Technology; Vol. 450). Springer New York LLC. https://doi.org/10.1007/978-3-319-16766-4_25