About: Efficient k-NN based HEp-2 cells classifier

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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)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Human Epithelial (HEp-2) cells are commonly used in the Indirect Immunofluorescence (IIF) tests to detect autoimmune diseases. The diagnosis consists of searching and classification to specific patterns created by Anti-Nuclear Antibodies (ANAs) in the patient serum. Evaluation of the IIF test is mostly done by humans, which means that it is highly dependent on the experience and expertise of the physician. Therefore, a significant amount of research has been focused on the development of computer aided diagnostic systems which could help with the analysis of images from microscopes. This work deals with the design and development of HEp-2 cells classifier. The classifier is able to categorize pre-segmented images of HEp-2 cells into 6 classes. The core of this engine consists of the following image descriptors: Haralick features, Local Binary Patterns, SIFT, surface description and a granulometry-based descriptor. These descriptors produce vectors that form metric spaces. Human Epithelial (HEp-2) cells are commonly used in the Indirect Immunofluorescence (IIF) tests to detect autoimmune diseases. The diagnosis consists of searching and classification to specific patterns created by Anti-Nuclear Antibodies (ANAs) in the patient serum. Evaluation of the IIF test is mostly done by humans, which means that it is highly dependent on the experience and expertise of the physician. Therefore, a significant amount of research has been focused on the development of computer aided diagnostic systems which could help with the analysis of images from microscopes. This work deals with the design and development of HEp-2 cells classifier. The classifier is able to categorize pre-segmented images of HEp-2 cells into 6 classes. The core of this engine consists of the following image descriptors: Haralick features, Local Binary Patterns, SIFT, surface description and a granulometry-based descriptor. These descriptors produce vectors that form metric spaces. (en)
Title	Efficient k-NN based HEp-2 cells classifier Efficient k-NN based HEp-2 cells classifier (en)
skos:prefLabel	Efficient k-NN based HEp-2 cells classifier Efficient k-NN based HEp-2 cells classifier (en)
skos:notation	RIV/00216224:14330/14:00073423!RIV15-GA0-14330___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GBP302/12/G157)
http://linked.open...iv/cisloPeriodika	7
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Svoboda, David Stoklasa, Roman Majtner, Tomáš
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	13865
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/14:00073423
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	HEp-2 cells; Classifier; Image descriptor; Classification; Nearest neighbours; IIF; Indirect Immunofluorescence (en)
http://linked.open.../riv/klicoveSlovo	HEp-2 cells IIF Image descriptor Indirect Immunofluorescence Nearest neighbours Classifier Classification
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[AA5C732E15A0]
http://linked.open...i/riv/nazevZdroje	PATTERN RECOGNITION
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Dynamics and Organization of Chromosomes in the Cell Cycle and during Differentiation under Normal and Pathological Conditions
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	47
http://linked.open...iv/tvurceVysledku	Svoboda, David Stoklasa, Roman Majtner, Tomáš
http://linked.open...ain/vavai/riv/wos	000334978100012
issn	0031-3203
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.1016/j.patcog.2013.09.021
http://localhost/t...ganizacniJednotka	14330

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