Tissue classification of liver pathological tissue specimens image using spectral features

E. Hashimoto, M. Ishikawa, K. Shinoda, M. Hasegawa, H. Komagata, N. Kobayashi, N. Mochidome, Yoshinao Oda, C. Iwamoto, Kenoki Ouchida, M. Hashizume

Research output: Contribution to journalConference article

Original languageEnglish
Article number36
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume10327
Publication statusPublished - Feb 3 2017
EventSPIE Medical Imaging 2017 - Orlando, United States
Duration: Feb 11 2017Feb 16 2017

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Liver
Tissue

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Hashimoto, E., Ishikawa, M., Shinoda, K., Hasegawa, M., Komagata, H., Kobayashi, N., ... Hashizume, M. (2017). Tissue classification of liver pathological tissue specimens image using spectral features. Proceedings of SPIE - The International Society for Optical Engineering, 10327, [36].

Tissue classification of liver pathological tissue specimens image using spectral features. / Hashimoto, E.; Ishikawa, M.; Shinoda, K.; Hasegawa, M.; Komagata, H.; Kobayashi, N.; Mochidome, N.; Oda, Yoshinao; Iwamoto, C.; Ouchida, Kenoki; Hashizume, M.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 10327, 36, 03.02.2017.

Research output: Contribution to journalConference article

Hashimoto, E, Ishikawa, M, Shinoda, K, Hasegawa, M, Komagata, H, Kobayashi, N, Mochidome, N, Oda, Y, Iwamoto, C, Ouchida, K & Hashizume, M 2017, 'Tissue classification of liver pathological tissue specimens image using spectral features', Proceedings of SPIE - The International Society for Optical Engineering, vol. 10327, 36.
Hashimoto, E. ; Ishikawa, M. ; Shinoda, K. ; Hasegawa, M. ; Komagata, H. ; Kobayashi, N. ; Mochidome, N. ; Oda, Yoshinao ; Iwamoto, C. ; Ouchida, Kenoki ; Hashizume, M. / Tissue classification of liver pathological tissue specimens image using spectral features. In: Proceedings of SPIE - The International Society for Optical Engineering. 2017 ; Vol. 10327.
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