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

C. Atupelage, H. Nagahashi, M. Yamaguchi, T. Abe, Akinori Hashiguchi, Michiie 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 publicationProceedings - International Symposium on Biomedical Imaging
Pages298-301
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
Duration: 2012 May 22012 May 5

Other

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

Fingerprint

Fractals
Liver Neoplasms
Liver
Prostatic Neoplasms
Textures
Prostate
Tissue
Geometry
Computational methods
Neoplasms
Imaging techniques
Experiments

Keywords

  • Classification
  • Feature descriptors
  • Fractal
  • Histology
  • Multifractal

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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 Proceedings - International Symposium on Biomedical Imaging (pp. 298-301). [6235543] https://doi.org/10.1109/ISBI.2012.6235543

Multifractal feature descriptor for diagnosing liver and prostate cancers in H&E stained histologic images. / Atupelage, C.; Nagahashi, H.; Yamaguchi, M.; Abe, T.; Hashiguchi, Akinori; Sakamoto, Michiie.

Proceedings - International Symposium on Biomedical Imaging. 2012. p. 298-301 6235543.

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

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 Proceedings - International Symposium on Biomedical Imaging., 6235543, pp. 298-301, 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012, Barcelona, Spain, 12/5/2. https://doi.org/10.1109/ISBI.2012.6235543
Atupelage C, Nagahashi H, Yamaguchi M, Abe T, Hashiguchi A, Sakamoto M. Multifractal feature descriptor for diagnosing liver and prostate cancers in H&E stained histologic images. In Proceedings - International Symposium on Biomedical Imaging. 2012. p. 298-301. 6235543 https://doi.org/10.1109/ISBI.2012.6235543
Atupelage, C. ; Nagahashi, H. ; Yamaguchi, M. ; Abe, T. ; Hashiguchi, Akinori ; Sakamoto, Michiie. / Multifractal feature descriptor for diagnosing liver and prostate cancers in H&E stained histologic images. Proceedings - International Symposium on Biomedical Imaging. 2012. pp. 298-301
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