About: Trainable Segmentation Based on Local-level and Segment-level Feature Extraction

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper deals with the segmentation of neuronal struc- tures in electron microscope (EM) stacks, which is one of the challenges of the ISBI 2012 conference. The data for the challenge consists of a stack of 30 EM slices for training and 30 EM stacks for testing. The training data was labelled by an expert human neuroanatomist. In this paper a segmentation using local-level and segment-level features and machine learning algorithms was used. The results achieved on the ISBI 2012 challenge test set were: the Rand error: 0.139038440, warping er- ror: 0.002641296 and pixel error: 0.102285508. The main criterion for segmentation evaluation was the Rand error. This paper deals with the segmentation of neuronal struc- tures in electron microscope (EM) stacks, which is one of the challenges of the ISBI 2012 conference. The data for the challenge consists of a stack of 30 EM slices for training and 30 EM stacks for testing. The training data was labelled by an expert human neuroanatomist. In this paper a segmentation using local-level and segment-level features and machine learning algorithms was used. The results achieved on the ISBI 2012 challenge test set were: the Rand error: 0.139038440, warping er- ror: 0.002641296 and pixel error: 0.102285508. The main criterion for segmentation evaluation was the Rand error. (en)
Title	Trainable Segmentation Based on Local-level and Segment-level Feature Extraction Trainable Segmentation Based on Local-level and Segment-level Feature Extraction (en)
skos:prefLabel	Trainable Segmentation Based on Local-level and Segment-level Feature Extraction Trainable Segmentation Based on Local-level and Segment-level Feature Extraction (en)
skos:notation	RIV/00216305:26220/12:PU100206!RIV13-MPO-26220___
http://linked.open...avai/predkladatel	Fakulta elektrotechniky a komunikačních technologií
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(FR-TI4/151), P(ME10123), S
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Burget, Radim Mašek, Jan Uher, Václav
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	174820
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/12:PU100206
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	segmentation, data mining, image processing (en)
http://linked.open.../riv/klicoveSlovo	segmentation data mining image processing
http://linked.open...ontrolniKodProRIV	[CD9AFB407E94]
http://linked.open...v/mistoKonaniAkce	Barcelona
http://linked.open...i/riv/mistoVydani	Barcelona
http://linked.open...i/riv/nazevZdroje	IEEE International Symposium on Biomedical Imaging
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	The Research of Algorithms for Processing of Digital Images and Image Sequences Výzkum a vývoj technologie pro detekci emocí v nestrukturovaných datech
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Burget, Radim Mašek, Jan Uher, Václav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000308143100071
http://linked.open.../riv/zahajeniAkce	2012-05-02 (xsd:date)
number of pages	63 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-1-4673-1118-2
http://localhost/t...ganizacniJednotka	26220
is http://linked.open...avai/riv/vysledek of	Trainable Segmentation Based on Local-level and Segment-level Feature Extraction

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