Tissue classification of liver pathological tissue specimens image using spectral features

Emi Hashimoto, Masahiro Ishikawa, Kazuma Shinoda, Madoka Hasegawa, Hideki Komagata, Naoki Kobayashi, Naoki Mochidome, Yoshinao Oda, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

5 引用 (Scopus)

抜粋

In digital pathology diagnosis, accurate recognition and quantification of the tissue structure is an important factor for computer-aided diagnosis. However, the classification accuracy of cytoplasm is low in Hematoxylin and eosin (HE) stained liver pathology specimens because the RGB color values of cytoplasm are almost similar to that of fibers. In this paper, we propose a new tissue classification method for HE stained liver pathology specimens by using hyperspectral image. At first we select valid spectra from the image to make a clear distinction between fibers and cytoplasm, and then classify five types of tissue based on the bag of features (BoF). The average classification accuracy for all tissues was improved by 11% in the case of using BoF of RGB and selected spectra bands in comparison with using only RGB. In particular, the improvement reached to 24% for fibers and 5% for cytoplasm.

元の言語英語
ホスト出版物のタイトルMedical Imaging 2017
ホスト出版物のサブタイトルDigital Pathology
編集者Metin N. Gurcan, John E. Tomaszewski
出版者SPIE
ISBN(電子版)9781510607255
DOI
出版物ステータス出版済み - 2017
イベントMedical Imaging 2017: Digital Pathology - Orlando, 米国
継続期間: 2 12 20172 13 2017

出版物シリーズ

名前Progress in Biomedical Optics and Imaging - Proceedings of SPIE
10140
ISSN(印刷物)1605-7422

その他

その他Medical Imaging 2017: Digital Pathology
米国
Orlando
期間2/12/172/13/17

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

フィンガープリント Tissue classification of liver pathological tissue specimens image using spectral features' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Hashimoto, E., Ishikawa, M., Shinoda, K., Hasegawa, M., Komagata, H., Kobayashi, N., Mochidome, N., Oda, Y., Iwamoto, C., Ohuchida, K., & Hashizume, M. (2017). Tissue classification of liver pathological tissue specimens image using spectral features. : M. N. Gurcan, & J. E. Tomaszewski (版), Medical Imaging 2017: Digital Pathology [101400Z] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; 巻数 10140). SPIE. https://doi.org/10.1117/12.2253818