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Application of multifractal analysis on microscopic images in the classification of metastatic bone disease

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Abstract

The paper considers the method, based on multifractal (MF) analysis, for classifying the shape of tissue cells from microscopis images, identifying the primary cancer in cases of metastasis bone disease. Diagnosis of primary cancer is of great importance, because further treatment depends on how successful and accurate that diagnosis is. This method can be applied as an additional and objective tool in primary cancer diagnosis, as well as in decreasing of the subjective factor and error probability. The method is tested over a large number (1050) of clinical cases from the Institute of Pathology, University of Belgrade. The results of computer-aided analysis of images have been presented and discussed.

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Acknowledgment

This work is partially supported by the Ministry of Science, Republic of Serbia, under the Grants No. TR32037, III43002, 45005 and III44009.

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Authors and Affiliations

  1. Institute “Mihajlo Pupin”, University of Belgrade, Volgina 15, Belgrade, Serbia

    Jelena Vasiljevic

  2. Faculty of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, Belgrade, Serbia

    Branimir Reljin & Irini Reljin

  3. Faculty of Medicine Belgrade, Institute of Pathology, University of Belgrade, Dr Subotica 1, Belgrade, Serbia

    Jelena Sopta

  4. Institute for Oncology and Radiology of Serbia, Belgrade, Serbia

    Vesna Mijucic

  5. Institute for Orthopaedic surgery and Traumatology, Clinical Centre of Serbia, Belgrade, Serbia

    Goran Tulic

Authors
  1. Jelena Vasiljevic
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  2. Branimir Reljin
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  3. Jelena Sopta
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  4. Vesna Mijucic
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  5. Goran Tulic
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  6. Irini Reljin
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Correspondence to Jelena Vasiljevic.

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Vasiljevic, J., Reljin, B., Sopta, J. et al. Application of multifractal analysis on microscopic images in the classification of metastatic bone disease. Biomed Microdevices 14, 541–548 (2012). https://doi.org/10.1007/s10544-012-9631-1

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