Classification of microscopy images of Langerhans islets

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00218856" target="_blank" >RIV/68407700:21230/14:00218856 - isvavai.cz</a>
Alternative codes found
RIV/00023001:_____/14:00059764
Result on the web
<a href="http://cmp.felk.cvut.cz/pub/cmp/articles/kybic/Svihlik-SPIEMI2014.pdf" target="_blank" >http://cmp.felk.cvut.cz/pub/cmp/articles/kybic/Svihlik-SPIEMI2014.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2043621" target="_blank" >10.1117/12.2043621</a>

Result language
angličtina
Original language name
Classification of microscopy images of Langerhans islets
Original language description
Classification of images of Langerhans islet is crucial procedure for optimization of diabetes treatment. Hence, this paper deals with segmentation of microscopy images of Langerhans islets and evaluation of islet parameters such as area, islet diameter,islet equivalent (IE) etc. For all the available images, the ground truth and the islet parameters were independently evaluated by four medical experts in a blinded manner. We utilized linear classifier (perceptron algorithm) and SVM (support vector machine) for image segmentation. All the available image data were segmented and compared with corresponding ground truth. The islet parameters were also evaluated and compared with parameters evaluated by medical experts. The presented fully automatic algorithm analyzes the microscopy images as good as medical experts.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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