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dc.creatorSpasić, Slađana
dc.creatorSubotić, Srđan
dc.creatorVišnjić Jeftić, Željka
dc.creatorLenhardt, Mirjana
dc.date.accessioned2022-04-05T15:30:42Z
dc.date.available2022-04-05T15:30:42Z
dc.date.issued2020
dc.identifier.issn1054-6618
dc.identifier.urihttp://rimsi.imsi.bg.ac.rs/handle/123456789/1384
dc.description.abstractFish erythrocytes released from erythropoietic sites are immature. During circulation, they increase their own surface, while the cell body and nuclei begin to become more elliptical and less spherical during maturation. The relative abundance of different developmental stages represents an erythron profile which could be a more sensitive indicator of contamination than classic hematological indices. In this study, we analyzed blood smears of the common nase (Chondrostoma nasus) and vimba bream (Vimba vimba) with the main goal to identify the determinants of the developmental stage of erythrocytes. Based on parameters developmental stages, erythrocytes are categorized into immature, intermediate or mature. In this investigation we have used four classification methods: the Two Step Cluster analysis, the K-Means Cluster analysis, and Neural Networks-Multilayer Perceptron and an Ordinal Regression model. Our findings clearly justify that Multilayers Perceptron and OLR models are appropriate to classify the developmental stage of fish erythrocytes in both species.en
dc.publisherSpringernature, London
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/173045/RS//
dc.rightsrestrictedAccess
dc.sourcePattern Recognition and Image Analysis
dc.subjectTwo Step Cluster analysisen
dc.subjectshape factor of erythrocytesen
dc.subjectOrdinal Logistic Regression analysisen
dc.subjectMultilayer Perceptronen
dc.subjectK-Means Cluster Analysisen
dc.subjectdevelopmental stage of erythrocytesen
dc.titleApplication of Different Classification Methods to Determine the Developmental Stage of Fish Erythrocytes of the Common Nase (Chondrostoma nasus) and Vimba Bream (Vimba vimba)en
dc.typearticle
dc.rights.licenseARR
dc.citation.epage51
dc.citation.issue1
dc.citation.other30(1): 43-51
dc.citation.spage43
dc.citation.volume30
dc.identifier.doi10.1134/S1054661820010150
dc.identifier.scopus2-s2.0-85082938040
dc.identifier.wos000705650000007
dc.type.versionpublishedVersion


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