Efficient k-NN based HEp-2 cells classifier

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00073423" target="_blank" >RIV/00216224:14330/14:00073423 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.patcog.2013.09.021" target="_blank" >http://dx.doi.org/10.1016/j.patcog.2013.09.021</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.patcog.2013.09.021" target="_blank" >10.1016/j.patcog.2013.09.021</a>

Result language
angličtina
Original language name
Efficient k-NN based HEp-2 cells classifier
Original language 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 aideddiagnostic 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 coreof 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.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Project
<a href="/en/project/GBP302%2F12%2FG157" target="_blank" >GBP302/12/G157: Dynamics and Organization of Chromosomes in the Cell Cycle and during Differentiation under Normal and Pathological Conditions</a><br>
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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