Parameter assisted HE colored tissue image classification

M. Kozlovszky, K. Hegedus, S. Szenasi, G. Kiszler, B. Wichmann, I. Bandi, Gy Eigner, P. I. Sas, L. Kovacs, Z. Garaguly, V. Jonas, G. Kiss, G. Valcz, B. Molnar

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

Abstract

The aim of our work was to design and implement a software solution, which supports quantitative histological analysis of hematoxilin eozin (HE) stained colon tissue samples, identify tissue structures - nuclei, glands and epithelium - using image processing methods. Furthermore, based on the result of the histological segmentation, it gives a suggestion for the negative or malignant status of the samples automatically. In this paper we describe the algorithm which builds up mainly by two software components: MorphCheck -our software framework-, which is capable to make effective, morphometric evaluation of high resolution digital tissue images and a modified WND-CHARM (Weighted Neighbor Distance Using Compound Hierarchy of Algorithms Representing Morphology), which is a multi-purpose image classifier. The image classification was performed mainly based on 75+15 pre-defined colon tissue specific parameters, which were measured by MorphCheck, and other 2873 in-built generic image parameters, which were measured by WND-CHARM. We appended WND-CHARM's learning and classification capabilities with our colon tissue specific parameters and with this act we have increased its classification accuracy significantly on HE stained colon tissue sample images.

Original languageEnglish
Title of host publicationINES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings
Pages203-207
Number of pages5
DOIs
Publication statusPublished - Dec 12 2013
Event17th IEEE International Conference on Intelligent Engineering Systems, INES 2013 - San Jose, Costa Rica
Duration: Jun 19 2013Jun 21 2013

Publication series

NameINES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings

Other

Other17th IEEE International Conference on Intelligent Engineering Systems, INES 2013
CountryCosta Rica
CitySan Jose
Period6/19/136/21/13

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Kozlovszky, M., Hegedus, K., Szenasi, S., Kiszler, G., Wichmann, B., Bandi, I., Eigner, G., Sas, P. I., Kovacs, L., Garaguly, Z., Jonas, V., Kiss, G., Valcz, G., & Molnar, B. (2013). Parameter assisted HE colored tissue image classification. In INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings (pp. 203-207). [6632811] (INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings). https://doi.org/10.1109/INES.2013.6632811