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Detecting low intensity nuclei on propidium iodide stained digital slides

Author:
Jonas, Viktor Zoltan
,
Kozlovszky, Miklos
,
Molnar, Bela
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/CVPR.2014.221
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1098461
Keyword(s): Convolution,n Kernel,n Noise,n Noise measurement,n Principal component analysis,n Training,n Vegetation,n Decision Trees,n Image Denoising,n Image Enhancement,n Image Restoration,n Statistical Methods
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    Detecting low intensity nuclei on propidium iodide stained digital slides

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contributor authorJonas, Viktor Zoltan
contributor authorKozlovszky, Miklos
contributor authorMolnar, Bela
date accessioned2020-03-12T22:54:00Z
date available2020-03-12T22:54:00Z
date issued2014
identifier other7028678.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1098461?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleDetecting low intensity nuclei on propidium iodide stained digital slides
typeConference Paper
contenttypeMetadata Only
identifier padid8239677
subject keywordsConvolution
subject keywordsn Kernel
subject keywordsn Noise
subject keywordsn Noise measurement
subject keywordsn Principal component analysis
subject keywordsn Training
subject keywordsn Vegetation
subject keywordsn Decision Trees
subject keywordsn Image Denoising
subject keywordsn Image Enhancement
subject keywordsn Image Restoration
subject keywordsn Statistical Methods
identifier doi10.1109/CVPR.2014.221
journal titleomputational Intelligence and Informatics (CINTI), 2014 IEEE 15th International Symposium on
filesize240674
citations0
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