Multifractal feature based cancer detection for pathological images

Chamidu Atupelage, Hiroshi Nagahashi, Michiie Sakamoto, Masahiro Yamaguchi, Akinori Hashiguchi

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

2 Citations (Scopus)

Abstract

This paper presents a significant multifractal feature description based texture discriminating technique to examine the cancer and non-cancer regions in pathological images. We acquired the characteristics (local singularity and global regularity information) of the texture using multifractal computation and used them to discriminate the highly complex visual patterns shown in the pathological images. The proposed feature description method was applied two different samples of pathological cancer liver images in different magnifications (given by digital slider) with different patch sizes (patch is a local window that we used to capture the data for training and testing). The outcomes of the experiments indicate that the proposed multifractal feature description based texture classification method is remarkable.

Original languageEnglish
Title of host publication5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011
DOIs
Publication statusPublished - 2011
Event5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011 - Wuhan, China
Duration: 2011 May 102011 May 12

Other

Other5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011
CountryChina
CityWuhan
Period11/5/1011/5/12

Fingerprint

Textures
Liver Neoplasms
Neoplasms
Liver
Testing
Experiments

Keywords

  • Component
  • Digital slider
  • Fractal dimension
  • Multifractal analysis
  • Pathological images
  • Texture classification

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Atupelage, C., Nagahashi, H., Sakamoto, M., Yamaguchi, M., & Hashiguchi, A. (2011). Multifractal feature based cancer detection for pathological images. In 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011 [5780208] https://doi.org/10.1109/icbbe.2011.5780208

Multifractal feature based cancer detection for pathological images. / Atupelage, Chamidu; Nagahashi, Hiroshi; Sakamoto, Michiie; Yamaguchi, Masahiro; Hashiguchi, Akinori.

5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011. 2011. 5780208.

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

Atupelage, C, Nagahashi, H, Sakamoto, M, Yamaguchi, M & Hashiguchi, A 2011, Multifractal feature based cancer detection for pathological images. in 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011., 5780208, 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011, Wuhan, China, 11/5/10. https://doi.org/10.1109/icbbe.2011.5780208
Atupelage C, Nagahashi H, Sakamoto M, Yamaguchi M, Hashiguchi A. Multifractal feature based cancer detection for pathological images. In 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011. 2011. 5780208 https://doi.org/10.1109/icbbe.2011.5780208
Atupelage, Chamidu ; Nagahashi, Hiroshi ; Sakamoto, Michiie ; Yamaguchi, Masahiro ; Hashiguchi, Akinori. / Multifractal feature based cancer detection for pathological images. 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011. 2011.
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