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Classification of confocal laser endomicroscopic images of the oral cavity to distinguish pathological from healthy tissue

Standard

Classification of confocal laser endomicroscopic images of the oral cavity to distinguish pathological from healthy tissue. / Jaremenko, Christian; Maier, Andreas; Steidl, Stefan; Hornegger, Joachim; Oetter, Nicolai; Knipfer, Christian; Stelzle, Florian; Neumann, Helmut.

in: Informatik aktuell, 2015, S. 479-485.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Jaremenko, C, Maier, A, Steidl, S, Hornegger, J, Oetter, N, Knipfer, C, Stelzle, F & Neumann, H 2015, 'Classification of confocal laser endomicroscopic images of the oral cavity to distinguish pathological from healthy tissue', Informatik aktuell, S. 479-485. https://doi.org/10.1007/978-3-662-46224-9_82

APA

Jaremenko, C., Maier, A., Steidl, S., Hornegger, J., Oetter, N., Knipfer, C., Stelzle, F., & Neumann, H. (2015). Classification of confocal laser endomicroscopic images of the oral cavity to distinguish pathological from healthy tissue. Informatik aktuell, 479-485. https://doi.org/10.1007/978-3-662-46224-9_82

Vancouver

Jaremenko C, Maier A, Steidl S, Hornegger J, Oetter N, Knipfer C et al. Classification of confocal laser endomicroscopic images of the oral cavity to distinguish pathological from healthy tissue. Informatik aktuell. 2015;479-485. https://doi.org/10.1007/978-3-662-46224-9_82

Bibtex

@article{4c44accb67884f6cbc6554f91c47fca2,
title = "Classification of confocal laser endomicroscopic images of the oral cavity to distinguish pathological from healthy tissue",
abstract = "Confocal laser endomicroscopy is a recently introduced advanced imaging technique which enables microscopic imaging of the mucosa in-vivo. This technique has already been applied successfully during diagnosis of gastrointestinal diseases. Whereas for this purpose several computer aided diagnosis approaches exist, we present a classification system that is able to differentiate between healthy and pathological images of the oral cavity. Varying textural features of small rectangular regions are evaluated using random forests and support vector machines. Preliminary results reach up to 99.2% classification rate. This indicates that an automatic classification system to differentiate between healthy and pathological mucosa of the oral cavity is feasible.",
author = "Christian Jaremenko and Andreas Maier and Stefan Steidl and Joachim Hornegger and Nicolai Oetter and Christian Knipfer and Florian Stelzle and Helmut Neumann",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications ; Conference date: 15-03-2015 Through 17-03-2015",
year = "2015",
doi = "10.1007/978-3-662-46224-9_82",
language = "English",
pages = "479--485",

}

RIS

TY - JOUR

T1 - Classification of confocal laser endomicroscopic images of the oral cavity to distinguish pathological from healthy tissue

AU - Jaremenko, Christian

AU - Maier, Andreas

AU - Steidl, Stefan

AU - Hornegger, Joachim

AU - Oetter, Nicolai

AU - Knipfer, Christian

AU - Stelzle, Florian

AU - Neumann, Helmut

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2015. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.

PY - 2015

Y1 - 2015

N2 - Confocal laser endomicroscopy is a recently introduced advanced imaging technique which enables microscopic imaging of the mucosa in-vivo. This technique has already been applied successfully during diagnosis of gastrointestinal diseases. Whereas for this purpose several computer aided diagnosis approaches exist, we present a classification system that is able to differentiate between healthy and pathological images of the oral cavity. Varying textural features of small rectangular regions are evaluated using random forests and support vector machines. Preliminary results reach up to 99.2% classification rate. This indicates that an automatic classification system to differentiate between healthy and pathological mucosa of the oral cavity is feasible.

AB - Confocal laser endomicroscopy is a recently introduced advanced imaging technique which enables microscopic imaging of the mucosa in-vivo. This technique has already been applied successfully during diagnosis of gastrointestinal diseases. Whereas for this purpose several computer aided diagnosis approaches exist, we present a classification system that is able to differentiate between healthy and pathological images of the oral cavity. Varying textural features of small rectangular regions are evaluated using random forests and support vector machines. Preliminary results reach up to 99.2% classification rate. This indicates that an automatic classification system to differentiate between healthy and pathological mucosa of the oral cavity is feasible.

UR - http://www.scopus.com/inward/record.url?scp=85012170711&partnerID=8YFLogxK

U2 - 10.1007/978-3-662-46224-9_82

DO - 10.1007/978-3-662-46224-9_82

M3 - SCORING: Journal article

AN - SCOPUS:85012170711

SP - 479

EP - 485

T2 - Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications

Y2 - 15 March 2015 through 17 March 2015

ER -