Automated zebrafish-based toxicity test using Bat optimization and AdaBoost classifier

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86099068" target="_blank" >RIV/61989100:27240/15:86099068 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICENCO.2015.7416343" target="_blank" >http://dx.doi.org/10.1109/ICENCO.2015.7416343</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICENCO.2015.7416343" target="_blank" >10.1109/ICENCO.2015.7416343</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automated zebrafish-based toxicity test using Bat optimization and AdaBoost classifier

Popis výsledku v původním jazyce

Environmental exposure to toxicants is very important as it become part of our daily life. Therefore, it is necessary to investigate the toxic effects of chemical substances before consuming it. The best choice for performing this test is by applying the toxicants to different animals. The zebrafish embryos are the most suitable animal for this test. In this paper, a fully-automated system is proposed to classify zebrafish embryos to alive or coagulant (i.e. dead due to exposing to toxic compound). The embryos' images are used to extract some features using the Segmentation-based Fractal Texture Analysis (SFTA) technique. Moreover, Bat algorithm is used to select the most discriminative features and then AdaBoost classifier is used to match between testing and training features (i.e. to classify alive and coagulant embryos). The experiments have proved that choosing threshold value of SFTA technique and the selected features have a great impact on the classification accuracy. With classification rate around 98.15%, the experimental results have showed that the proposed model is a very promising step toward a fully-automated toxicity test using zebrafish embryos. (C) 2015 IEEE.

Název v anglickém jazyce

Automated zebrafish-based toxicity test using Bat optimization and AdaBoost classifier

Popis výsledku anglicky

Environmental exposure to toxicants is very important as it become part of our daily life. Therefore, it is necessary to investigate the toxic effects of chemical substances before consuming it. The best choice for performing this test is by applying the toxicants to different animals. The zebrafish embryos are the most suitable animal for this test. In this paper, a fully-automated system is proposed to classify zebrafish embryos to alive or coagulant (i.e. dead due to exposing to toxic compound). The embryos' images are used to extract some features using the Segmentation-based Fractal Texture Analysis (SFTA) technique. Moreover, Bat algorithm is used to select the most discriminative features and then AdaBoost classifier is used to match between testing and training features (i.e. to classify alive and coagulant embryos). The experiments have proved that choosing threshold value of SFTA technique and the selected features have a great impact on the classification accuracy. With classification rate around 98.15%, the experimental results have showed that the proposed model is a very promising step toward a fully-automated toxicity test using zebrafish embryos. (C) 2015 IEEE.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2015 11th International Computer Engineering Conference: Today Information Society What's Next?, ICENCO 2015

ISBN

978-1-5090-0275-7

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

169-174

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

New York

Místo konání akce

Káhira

Datum konání akce

29. 12. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000378560500027