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Segmentation of Stained Lymphoma Tissue Section Images

  • Conference paper
Book cover Information Technologies in Biomedicine

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 69))

Abstract

In order to obtain supporting tool for the pathologists who are investigating prognostic factors in folicular lymphoma a new method of color images segmentation is proposed. The method works on images acquired from immunohistochemically stained thin tissue sections of lymph nodes coming from patients with folicular lymphoma diagnosis. The proposed method of segmentation consists of: pre-processing, adaptive threshold, watershed segmentation and post-processing. The method is tested on a set of 50 images. Its results are compared with results of manual counting. It has been found that difference between the traditional method results and the proposed method is small for images with up to 100 nuclei while in more complicated images with more then 100 nuclei and with nuclei clusters this difference increases.

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Author information

Authors and Affiliations

  1. Nalecz Institute of Biocybernetics and Biomedical Engineering, PAS, ul. Ksiecia Trojdena 4, 02-109, Warszawa, Poland

    Urszula Neuman & Anna Korzynska

  2. Molecular Biology and Research Section, Hospital de Tortosa Verge de la Cinta, C/ Esplanetes 14, Tortosa, 43500, Tarragona, Spain

    Carlos Lopez & Marylene Lejeune

Authors
  1. Urszula Neuman
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  2. Anna Korzynska
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  3. Carlos Lopez
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  4. Marylene Lejeune
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Editor information

Editors and Affiliations

  1. Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, ul. Akademicka 16, 44-100, Gliwice, Poland

    Ewa Piȩtka  & Jacek Kawa  & 

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Neuman, U., Korzynska, A., Lopez, C., Lejeune, M. (2010). Segmentation of Stained Lymphoma Tissue Section Images. In: Piȩtka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Intelligent and Soft Computing, vol 69. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13105-9_11

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  • DOI: https://doi.org/10.1007/978-3-642-13105-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13104-2

  • Online ISBN: 978-3-642-13105-9

  • eBook Packages: EngineeringEngineering (R0)

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