Exploiting multiple color representations to improve colon cancer detection in whole slide H&E stains

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Original languageEnglish
Title of host publicationComputational Pathology and Ophthalmic Medical Image Analysis : First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, 16-20 September 2018, Proceedings
PublisherSpringer
Publication date2018
Pages61-68
ISBN (Print)978-3-030-00948-9
ISBN (Electronic)978-3-030-00949-6
DOIs
Publication statusPublished - 2018
Event1st International Workshop on Computational Pathology, COMPAY 2018, and 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018 - Granada, Spain
Duration: 16 Oct 201820 Oct 2018

Conference

Conference1st International Workshop on Computational Pathology, COMPAY 2018, and 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018
CountrySpain
CityGranada
Period16/10/201820/10/2018
SeriesLecture Notes in Computer Science
Volume11039
ISSN0302-9743

Cite this

Jørgensen, A. S., Emborg, J., Røge, R., & Østergaard, L. R. (2018). Exploiting multiple color representations to improve colon cancer detection in whole slide H&E stains. In Computational Pathology and Ophthalmic Medical Image Analysis: First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, 16-20 September 2018, Proceedings (pp. 61-68). Springer. Lecture Notes in Computer Science, Vol.. 11039 https://doi.org/10.1007/978-3-030-00949-6_8
Jørgensen, Alex Skovsbo ; Emborg, Jonas ; Røge, Rasmus ; Østergaard, Lasse Riis. / Exploiting multiple color representations to improve colon cancer detection in whole slide H&E stains. Computational Pathology and Ophthalmic Medical Image Analysis: First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, 16-20 September 2018, Proceedings. Springer, 2018. pp. 61-68 (Lecture Notes in Computer Science, Vol. 11039).
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title = "Exploiting multiple color representations to improve colon cancer detection in whole slide H&E stains",
author = "J{\o}rgensen, {Alex Skovsbo} and Jonas Emborg and Rasmus R{\o}ge and {\O}stergaard, {Lasse Riis}",
year = "2018",
doi = "10.1007/978-3-030-00949-6_8",
language = "English",
isbn = "978-3-030-00948-9",
pages = "61--68",
booktitle = "Computational Pathology and Ophthalmic Medical Image Analysis",
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address = "Germany",

}

Jørgensen, AS, Emborg, J, Røge, R & Østergaard, LR 2018, Exploiting multiple color representations to improve colon cancer detection in whole slide H&E stains. in Computational Pathology and Ophthalmic Medical Image Analysis: First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, 16-20 September 2018, Proceedings. Springer, Lecture Notes in Computer Science, vol. 11039, pp. 61-68, Granada, Spain, 16/10/2018. https://doi.org/10.1007/978-3-030-00949-6_8

Exploiting multiple color representations to improve colon cancer detection in whole slide H&E stains. / Jørgensen, Alex Skovsbo; Emborg, Jonas; Røge, Rasmus; Østergaard, Lasse Riis.

Computational Pathology and Ophthalmic Medical Image Analysis: First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, 16-20 September 2018, Proceedings. Springer, 2018. p. 61-68.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - Exploiting multiple color representations to improve colon cancer detection in whole slide H&E stains

AU - Jørgensen, Alex Skovsbo

AU - Emborg, Jonas

AU - Røge, Rasmus

AU - Østergaard, Lasse Riis

PY - 2018

Y1 - 2018

U2 - 10.1007/978-3-030-00949-6_8

DO - 10.1007/978-3-030-00949-6_8

M3 - Article in proceeding

SN - 978-3-030-00948-9

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EP - 68

BT - Computational Pathology and Ophthalmic Medical Image Analysis

PB - Springer

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Jørgensen AS, Emborg J, Røge R, Østergaard LR. Exploiting multiple color representations to improve colon cancer detection in whole slide H&E stains. In Computational Pathology and Ophthalmic Medical Image Analysis: First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, 16-20 September 2018, Proceedings. Springer. 2018. p. 61-68. (Lecture Notes in Computer Science, Vol. 11039). https://doi.org/10.1007/978-3-030-00949-6_8