About: Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Statistická klasifikace termogramu prsu (cs) Advances in camera technologies and reduced equipment costs have lead to an increased interest in the application of thermography in the medical fields. Thermography is of particular interest for detection of breast cancer as it has been shown that it is capable of detecting the cancer earlier and is also allows diagnosis of fatty breast tissue. In this paper we perform breast cancer detection based on thermography, using a series of statistical features extracted from the thermograms coupled with a fuzzy rule-based classification system for diagnosis. The features stem from a comparison of left and right breast areas and quantify the bilateral differences encountered. Following this asymmetry analysis the features are fed to a fuzzy classification system. This classifier is used to extract fuzzy if-then rules based on a training set of known cases. Experimental results on a set of nearly 150 cases show the proposed system to work well accurately classifying about 80% of cases, a performance that is c Advances in camera technologies and reduced equipment costs have lead to an increased interest in the application of thermography in the medical fields. Thermography is of particular interest for detection of breast cancer as it has been shown that it is capable of detecting the cancer earlier and is also allows diagnosis of fatty breast tissue. In this paper we perform breast cancer detection based on thermography, using a series of statistical features extracted from the thermograms coupled with a fuzzy rule-based classification system for diagnosis. The features stem from a comparison of left and right breast areas and quantify the bilateral differences encountered. Following this asymmetry analysis the features are fed to a fuzzy classification system. This classifier is used to extract fuzzy if-then rules based on a training set of known cases. Experimental results on a set of nearly 150 cases show the proposed system to work well accurately classifying about 80% of cases, a performance that is c (en)
Title	Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms Klasifikace karcinomu prsu z termogramu s použitím statistických parametrů a fuzzy klasifikátoru (cs) Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms (en)
skos:prefLabel	Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms Klasifikace karcinomu prsu z termogramu s použitím statistických parametrů a fuzzy klasifikátoru (cs) Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms (en)
skos:notation	RIV/00216305:26220/07:PU69164!RIV08-MSM-26220___
http://linked.open.../vavai/riv/strany	1-400
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat	2008
http://linked.open...aciTvurceVysledku	Závišek, Michal Drastich, Aleš
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	412241
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/07:PU69164
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Breast Cancer Classification Statistical Features Fuzzy Thermograms (en)
http://linked.open.../riv/klicoveSlovo	Breast Cancer Classification Statistical Features Fuzzy Thermograms
http://linked.open...ontrolniKodProRIV	[2171B9CDDD37]
http://linked.open...v/mistoKonaniAkce	London UK
http://linked.open...i/riv/mistoVydani	London UK
http://linked.open...i/riv/nazevZdroje	FUZZ-IEEE 2007 PROCEEDINGS
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2007
http://linked.open...iv/tvurceVysledku	Drastich, Aleš Závišek, Michal
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2007-07-23 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Advanced Electronic Communication Systems and Technologies (ELCOM)
number of pages	400 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	1-4244-1210-2
http://localhost/t...ganizacniJednotka	26220
is http://linked.open...avai/riv/vysledek of	Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms

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