About: The Importance of Computer Generated Data in Fluorescence Microscopy

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Description	In fluorescence microscopy, the proper evaluation of image segmentation and tracking algorithms, that are further used for observation of some particular processes or directly to diagnosis, is still an open task. The problem is based on the fact that currently there exists no exact knowledge, how the microscopic specimens look like if observed without any degradation introduced by the microscope setup. In the past, the only available quality measurement of the algorithms was an expert's knowledge. The expert either classified the results of selected algorithms or provided an annotation of some real image dataset that was further used for evaluation purposes. Both ways however suffer from two main issues. First, the expert's evaluation is nondeterministic. Second, for higher dimensional data (sequences of 2D or 3D images) the handmade annotation is impractical or even impossible. For this reason, the computer generated data, naturally accompanied by their ground truth, have started to appear. In fluorescence microscopy, the proper evaluation of image segmentation and tracking algorithms, that are further used for observation of some particular processes or directly to diagnosis, is still an open task. The problem is based on the fact that currently there exists no exact knowledge, how the microscopic specimens look like if observed without any degradation introduced by the microscope setup. In the past, the only available quality measurement of the algorithms was an expert's knowledge. The expert either classified the results of selected algorithms or provided an annotation of some real image dataset that was further used for evaluation purposes. Both ways however suffer from two main issues. First, the expert's evaluation is nondeterministic. Second, for higher dimensional data (sequences of 2D or 3D images) the handmade annotation is impractical or even impossible. For this reason, the computer generated data, naturally accompanied by their ground truth, have started to appear. (en)
Title	The Importance of Computer Generated Data in Fluorescence Microscopy The Importance of Computer Generated Data in Fluorescence Microscopy (en)
skos:prefLabel	The Importance of Computer Generated Data in Fluorescence Microscopy The Importance of Computer Generated Data in Fluorescence Microscopy (en)
skos:notation	RIV/00216224:14330/14:00073963!RIV15-GA0-14330___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GBP302/12/G157)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Svoboda, David
http://linked.open.../riv/druhVysledku	O - Ostatní výsledky nezařaditelné do žádného z výše uvedených druhů výsledku
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	20906
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/14:00073963
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	simulation; biomedical imaging; fluorescence microscopy; cell nucleus (en)
http://linked.open.../riv/klicoveSlovo	cell nucleus simulation fluorescence microscopy biomedical imaging
http://linked.open...ontrolniKodProRIV	[3B7969421CFC]
http://linked.open...in/vavai/riv/obor	JD
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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...iv/tvurceVysledku	Svoboda, David
http://localhost/t...ganizacniJednotka	14330

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