Klasyfikator ja̧drowej wersji maszyny wektorów podpieraja̧cych wspomagaja̧cy diagnostykȩ obszarów nowotworowych w wielospektralnym obrazowaniu endoskopowym

Robert Bieda; Adam Świtoński; Sebastian Kwiatek; Wojciech Latos; Grzegorz Cieślar; Aleksander Sieroń; Konrad Wojciechowski

Klasyfikator ja̧drowej wersji maszyny wektorów podpieraja̧cych wspomagaja̧cy diagnostykȩ obszarów nowotworowych w wielospektralnym obrazowaniu endoskopowym

Translated title of the contribution: Classification by support vector machine aided the diagnosis cancer domains in multispectral endoscopic imaging

Robert Bieda
, Adam Świtoński
, Sebastian Kwiatek
, Wojciech Latos
, Grzegorz Cieślar
, Aleksander Sieroń
, Konrad Wojciechowski

Medical University of Silesia in Katowice

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

The paper presents the theoretical basis and results obtained with use of the support vector machine classifier on multispectral image classification gained with 21-channel system for endoscopic multispectral imaging. Obtained distinguishability of pathological changes areas is higher than in the case of Xillix Onco LIFE system in the medical diagnosticians opinion.

Translated title of the contribution	Classification by support vector machine aided the diagnosis cancer domains in multispectral endoscopic imaging
Original language	Polish
Pages (from-to)	13-16
Number of pages	4
Journal	Przeglad Elektrotechniczny
Volume	86
Issue number	12
Publication status	Published - 2010

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

@article{97770a387b9744fdaca53dc35d2d6acd,

title = "Klasyfikator j{\c a}drowej wersji maszyny wektor{\'o}w podpieraj{\c a}cych wspomagaj{\c a}cy diagnostykȩ obszar{\'o}w nowotworowych w wielospektralnym obrazowaniu endoskopowym",

abstract = "The paper presents the theoretical basis and results obtained with use of the support vector machine classifier on multispectral image classification gained with 21-channel system for endoscopic multispectral imaging. Obtained distinguishability of pathological changes areas is higher than in the case of Xillix Onco LIFE system in the medical diagnosticians opinion.",

keywords = "Multispectral imaging, Photodynamic diagnosis, Supervised classification, Support vector machine",

author = "Robert Bieda and Adam {\'S}wito{\'n}ski and Sebastian Kwiatek and Wojciech Latos and Grzegorz Cie{\'s}lar and Aleksander Siero{\'n} and Konrad Wojciechowski",

year = "2010",

language = "polski",

volume = "86",

pages = "13--16",

journal = "Przeglad Elektrotechniczny",

issn = "0033-2097",

publisher = "Wydawnictwo SIGMA-NOT",

number = "12",

}

TY - JOUR

T1 - Klasyfikator ja̧drowej wersji maszyny wektorów podpieraja̧cych wspomagaja̧cy diagnostykȩ obszarów nowotworowych w wielospektralnym obrazowaniu endoskopowym

AU - Bieda, Robert

AU - Świtoński, Adam

AU - Kwiatek, Sebastian

AU - Latos, Wojciech

AU - Cieślar, Grzegorz

AU - Sieroń, Aleksander

AU - Wojciechowski, Konrad

PY - 2010

Y1 - 2010

N2 - The paper presents the theoretical basis and results obtained with use of the support vector machine classifier on multispectral image classification gained with 21-channel system for endoscopic multispectral imaging. Obtained distinguishability of pathological changes areas is higher than in the case of Xillix Onco LIFE system in the medical diagnosticians opinion.

AB - The paper presents the theoretical basis and results obtained with use of the support vector machine classifier on multispectral image classification gained with 21-channel system for endoscopic multispectral imaging. Obtained distinguishability of pathological changes areas is higher than in the case of Xillix Onco LIFE system in the medical diagnosticians opinion.

KW - Multispectral imaging

KW - Photodynamic diagnosis

KW - Supervised classification

KW - Support vector machine

UR - https://www.scopus.com/pages/publications/78650130186

M3 - Artykuł

AN - SCOPUS:78650130186

SN - 0033-2097

VL - 86

SP - 13

EP - 16

JO - Przeglad Elektrotechniczny

JF - Przeglad Elektrotechniczny

IS - 12

ER -

Klasyfikator ja̧drowej wersji maszyny wektorów podpieraja̧cych wspomagaja̧cy diagnostykȩ obszarów nowotworowych w wielospektralnym obrazowaniu endoskopowym

Abstract

UN SDGs

ASJC Scopus subject areas

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