Multifractal feature descriptor for diagnosing liver and prostate cancers in H&E stained histologic images

C. Atupelage, H. Nagahashi, M. Yamaguchi, T. Abe, A. Hashiguchi, M. Sakamoto

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

Abstract

Histologic imaging plays an important role in discriminating cancerous tissues of several body organs. However, the human histopathological examinations may be subjective and error prone, because of the complexity of the appearances of the histologic texture. These limitations can be overcome by adopting quantitative computational methods with human histopathological examination routines. This study proposes a new feature descriptor to characterize texture of histologic images. The proposed method derives a discriminative feature space by observing the self-similarity characteristics of the texture based on fractal geometry. The merit of utilizing fractal geometry to describe the histologic texture is assessed by a classification experiment. The experimental results indicate that the proposed feature descriptor can classify cancer and non-cancer tissues of histologic images of liver and prostate images around 95% of correct classification rate.

Original languageEnglish
Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2012 - Proceedings
Pages298-301
Number of pages4
DOIs
Publication statusPublished - 2012 Aug 15
Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
Duration: 2012 May 22012 May 5

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
CountrySpain
CityBarcelona
Period12/5/212/5/5

Keywords

  • Classification
  • Feature descriptors
  • Fractal
  • Histology
  • Multifractal

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Atupelage, C., Nagahashi, H., Yamaguchi, M., Abe, T., Hashiguchi, A., & Sakamoto, M. (2012). Multifractal feature descriptor for diagnosing liver and prostate cancers in H&E stained histologic images. In 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Proceedings (pp. 298-301). [6235543] (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2012.6235543