Skip to main content
main-content
Top

Hint

Swipe to navigate through the articles of this issue

01-01-2020 | SPECIAL ISSUE | Issue 1/2020

Pattern Recognition and Image Analysis 1/2020

Application of Different Classification Methods to Determine the Developmental Stage of Fish Erythrocytes of the Common Nase (Chondrostoma nasus) and Vimba Bream (Vimba vimba)

Journal:
Pattern Recognition and Image Analysis > Issue 1/2020
Authors:
Sladjana Spasić, Srdjan Subotić, Željka Višnjić-Jeftić, Mirjana Lenhardt
Important notes
https://static-content.springer.com/image/art%3A10.1134%2FS1054661820010150/MediaObjects/11493_2020_6051_Fig7_HTML.gif
Dr. Sladjana Spasić received her MSc degree in artificial intelligence in 2003 and her PhD degree in applied mathematics in 2007 with a thesis on fractal analysis of biological material, both at the Belgrade University, Serbia. From 2003–2008 she was an assistant research professor/assistant professor at the Institute for Multidisciplinary Research, University of Belgrade (IMSI), Belgrade, Serbia, and Singidunum University (SU) at the Department of Informatics and Computer Science, respectively. From 2008 to 2013, she was an associate professor at IMSI and SU and since 2018 she has been working as a full professor at the same institutions. She has more than 20 years of working experience as a researcher and more than 40 published papers in International Citation Index journals; she edited one book and published one textbook in statistics. Her interest includes all multi-scale structural aspects of signals and images and their applications to practical biological problems as well as the application of mathematical and statistical analysis in ecology and physiology.
https://static-content.springer.com/image/art%3A10.1134%2FS1054661820010150/MediaObjects/11493_2020_6051_Fig8_HTML.gif
Dr. Srdjan Subotić received his MSc degree in biology in 2010 and the PhD degree in ecology 2015 with a thesis on element bioaccumulation and bio-magnification in fish tissues, both obtained at the University of Belgrade, Serbia. From 2014 to 2017 he worked as a teaching assistant at the Faculty of Biology, University of Belgrade. From 2017 he is employed as a research fellow at the same institution. His interests are various aspects of fish ecology, such as ecotoxicology, diet and habitat, hematology, and population ecology.
https://static-content.springer.com/image/art%3A10.1134%2FS1054661820010150/MediaObjects/11493_2020_6051_Fig9_HTML.gif
Dr. Željka Višnjić-Jeftić received her BSc in 2002 and the PhD degree in 2012 in ecology and environmental protection with a thesis: “Ecological and toxicological study of the Pontic shad (Alosa immaculate Bennett, 1835) in the Danube River in Serbia” both obtained at the University of Belgrade, Serbia, Faculty of Biology. 2005–2008 Research Trainee, Centre for Multidisciplinary Studies, University of Belgrade; 2008–2013 research assistant, Institute for Multidisciplinary Research, University of Belgrade; 2013–2018 research fellow, Institute for Multidisciplinary Research, University of Belgrade; 2018-present senior research fellow, Institute for Multidisciplinary Research, University of Belgrade. Research field: ecology, ecotoxicology, environmental protection, ichthyology, hydrobiology.
https://static-content.springer.com/image/art%3A10.1134%2FS1054661820010150/MediaObjects/11493_2020_6051_Fig10_HTML.gif
Dr. Mirjana Lenhardt is a research professor at the Institute for Multidisciplinary Research and Institute for Biological Research University of Belgrade, Serbia. She has more than 30 years’ experience working as a researcher in the field of ichthyology, fish ecology, eco-toxicology, and fish biochemistry. The part of her work was devoted to endangering factors of migratory fish species and their protection as well as to the investigation of non-native fish species. Dr. Mirjana Lenhardt has published more than 70 papers in International Citation Index journals and 7 chapters in books. She is an Expert Group Leader for the Fishery/Fish Biology of International Association for Danube Research.

Abstract

Fish 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.

Please log in to get access to this content

To get access to this content you need the following product:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 69.000 Bücher
  • über 500 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Umwelt
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Testen Sie jetzt 30 Tage kostenlos.

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 58.000 Bücher
  • über 300 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Testen Sie jetzt 30 Tage kostenlos.

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 50.000 Bücher
  • über 380 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Umwelt
  • Maschinenbau + Werkstoffe




Testen Sie jetzt 30 Tage kostenlos.

Literature
About this article

Other articles of this Issue 1/2020

Pattern Recognition and Image Analysis 1/2020 Go to the issue

MATHEMATICAL THEORY OF IMAGES AND SIGNALS REPRESENTING, PROCESSING, ANALYSIS, RECOGNITION, AND UNDERSTANDING

Invariant Gaussian–Hermite Moments Based Neural Networks for 3D Object Classification

MATHEMATICAL THEORY OF IMAGES AND SIGNALS REPRESENTING, PROCESSING, ANALYSIS, RECOGNITION, AND UNDERSTANDING

Jointly Image Annotation and Classification Based on Supervised Multi-Modal Hierarchical Semantic Model

Premium Partner

    Image Credits