Multifractal feature descriptor for grading Hepatocellular carcinoma

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

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper presents a textural feature descriptor that can be effectively utilized for grading Hepatocellular carcinoma (HCC) histopathological images. The proposed feature descriptor observes the local and spatial characteristics of the texture by utilizing multifractal computation, and it is incorporated with a bag-of-feature (BOF)-based classification model to classify a set of images. We compare the proposed feature descriptor with four well-founded feature descriptors in the experiments, and benchmark the classification performances. The benchmarked results indicated the significance of the multifractal feature descriptor.

本文言語English
ホスト出版物のタイトルICPR 2012 - 21st International Conference on Pattern Recognition
ページ129-132
ページ数4
出版ステータスPublished - 2012 12 1
イベント21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
継続期間: 2012 11 112012 11 15

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
ISSN(印刷版)1051-4651

Other

Other21st International Conference on Pattern Recognition, ICPR 2012
CountryJapan
CityTsukuba
Period12/11/1112/11/15

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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