About: Brain Tumour Diagnostics Support Based on Medical Image Segmentation

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	High-grade gliomas represent rapidly growing malignant brain tumours. Early diagnostics of this decease and immediately applied treatment entails better life prognosis for the patient. The goal of this work is to initialize the development of an automated tumour recognition method based on computed tomography images processing. The resulting method is aimed at early glioma diagnostics support by distinguishing between the healthy tissue and the tumour tissue. The proposed technique involves, subsequently, image preprocessing, feature extraction, and classification of the extracted features using an artificial neural network. To obtain features, we compute the skewness of the discrete wavelet transform coefficients from selected rectangular image regions using three neighboring image slices to increase the number of samples while preserving good segmentation resolution within the image. The segmentation results are evaluated in cooperation with the neurologist. High-grade gliomas represent rapidly growing malignant brain tumours. Early diagnostics of this decease and immediately applied treatment entails better life prognosis for the patient. The goal of this work is to initialize the development of an automated tumour recognition method based on computed tomography images processing. The resulting method is aimed at early glioma diagnostics support by distinguishing between the healthy tissue and the tumour tissue. The proposed technique involves, subsequently, image preprocessing, feature extraction, and classification of the extracted features using an artificial neural network. To obtain features, we compute the skewness of the discrete wavelet transform coefficients from selected rectangular image regions using three neighboring image slices to increase the number of samples while preserving good segmentation resolution within the image. The segmentation results are evaluated in cooperation with the neurologist. (en)
Title	Brain Tumour Diagnostics Support Based on Medical Image Segmentation Brain Tumour Diagnostics Support Based on Medical Image Segmentation (en)
skos:prefLabel	Brain Tumour Diagnostics Support Based on Medical Image Segmentation Brain Tumour Diagnostics Support Based on Medical Image Segmentation (en)
skos:notation	RIV/60461373:22340/09:00022069!RIV10-MSM-22340___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6046137306)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Měřínský, Zdeněk Procházka, Aleš Jerhotová, Eva
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	Vysoká škola chemicko-technologická v Praze / Fakulta chemicko-inženýrská
http://linked.open...dnocenehoVysledku	305479
http://linked.open...ai/riv/idVysledku	RIV/60461373:22340/09:00022069
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	high-grade glioma; brain tumour detection; skewness; wavelet transform; feature extraction and classification (en)
http://linked.open.../riv/klicoveSlovo	skewness brain tumour detection wavelet transform feature extraction and classification high-grade glioma
http://linked.open...ontrolniKodProRIV	[155C7FE95298]
http://linked.open...v/mistoKonaniAkce	Praha
http://linked.open...i/riv/mistoVydani	Praha
http://linked.open...i/riv/nazevZdroje	Proceedings 17th Annual Conference Technical Computing Prague 2009
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Procházka, Aleš Hošťálková, Eva Měřínský, Zdeněk
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2009-11-19 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Reakčně-transportní chemicko-inženýrské systémy a jejich dynamické chování, modelování a řízení chemických a biotechnologických procesů
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Humusoft
https://schema.org/isbn	978-80-7080-733-0
http://localhost/t...ganizacniJednotka	22340

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