Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples

Texture-based classification of tissue morphologies

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Original languageEnglish
Title of host publicationMEDICAL IMAGING 2016: DIGITAL PATHOLOGY
EditorsMN Gurcan, A Madabhushi
Number of pages7
PublisherSPIE - INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING
Publication date2016
Article number 979110
ISBN (Print)978-1-5106-0026-3
DOIs
Publication statusPublished - 2016
MoE publication typeA4 Article in conference proceedings
EventConference on Medical Imaging - Digital Pathology - San Diego, CA, United States
Duration: 2 Mar 20163 Mar 2016

Publication series

NameProceedings of SPIE
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Volume9791
ISSN (Print)0277-786X

Fields of Science

  • Breast cancer
  • clinical trials
  • computer assisted diagnosis
  • infiltrating immune cells
  • texture features
  • tumor microenvironment
  • supervised learning
  • 3122 Cancers

Cite this

Turkki, R., Linder, N., Kovanen, P. E., Pellinen, T., & Lundin, J. (2016). Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples: Texture-based classification of tissue morphologies. In MN. Gurcan, & A. Madabhushi (Eds.), MEDICAL IMAGING 2016: DIGITAL PATHOLOGY [ 979110] (Proceedings of SPIE; Vol. 9791). SPIE - INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. https://doi.org/10.1117/12.2217040
Turkki, Riku ; Linder, Nina ; Kovanen, Panu E. ; Pellinen, Teijo ; Lundin, Johan. / Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples : Texture-based classification of tissue morphologies. MEDICAL IMAGING 2016: DIGITAL PATHOLOGY. editor / MN Gurcan ; A Madabhushi. SPIE - INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, 2016. (Proceedings of SPIE).
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title = "Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples: Texture-based classification of tissue morphologies",
keywords = "Breast cancer, clinical trials, computer assisted diagnosis, infiltrating immune cells, texture features, tumor microenvironment, supervised learning, 3122 Cancers",
author = "Riku Turkki and Nina Linder and Kovanen, {Panu E.} and Teijo Pellinen and Johan Lundin",
note = "Volume: Proceeding volume:",
year = "2016",
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language = "English",
isbn = "978-1-5106-0026-3",
series = "Proceedings of SPIE",
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booktitle = "MEDICAL IMAGING 2016: DIGITAL PATHOLOGY",
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Turkki, R, Linder, N, Kovanen, PE, Pellinen, T & Lundin, J 2016, Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples: Texture-based classification of tissue morphologies. in MN Gurcan & A Madabhushi (eds), MEDICAL IMAGING 2016: DIGITAL PATHOLOGY., 979110, Proceedings of SPIE, vol. 9791, SPIE - INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, Conference on Medical Imaging - Digital Pathology, San Diego, CA, United States, 02/03/2016. https://doi.org/10.1117/12.2217040

Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples : Texture-based classification of tissue morphologies. / Turkki, Riku; Linder, Nina; Kovanen, Panu E.; Pellinen, Teijo; Lundin, Johan.

MEDICAL IMAGING 2016: DIGITAL PATHOLOGY. ed. / MN Gurcan; A Madabhushi. SPIE - INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, 2016. 979110 (Proceedings of SPIE; Vol. 9791).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

TY - GEN

T1 - Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples

T2 - Texture-based classification of tissue morphologies

AU - Turkki, Riku

AU - Linder, Nina

AU - Kovanen, Panu E.

AU - Pellinen, Teijo

AU - Lundin, Johan

N1 - Volume: Proceeding volume:

PY - 2016

Y1 - 2016

KW - Breast cancer

KW - clinical trials

KW - computer assisted diagnosis

KW - infiltrating immune cells

KW - texture features

KW - tumor microenvironment

KW - supervised learning

KW - 3122 Cancers

U2 - 10.1117/12.2217040

DO - 10.1117/12.2217040

M3 - Conference contribution

SN - 978-1-5106-0026-3

T3 - Proceedings of SPIE

BT - MEDICAL IMAGING 2016: DIGITAL PATHOLOGY

A2 - Gurcan, MN

A2 - Madabhushi, A

PB - SPIE - INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING

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Turkki R, Linder N, Kovanen PE, Pellinen T, Lundin J. Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples: Texture-based classification of tissue morphologies. In Gurcan MN, Madabhushi A, editors, MEDICAL IMAGING 2016: DIGITAL PATHOLOGY. SPIE - INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. 2016. 979110. (Proceedings of SPIE). https://doi.org/10.1117/12.2217040