Identification of Chicken Eimeria Species from Microscopic Images by Using Convolutional Neural Network Method

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dc.authorid0000-0002-5204-0819en_US
dc.authorid0000-0002-5715-1040en_US
dc.authorid0000-0002-2433-246Xen_US
dc.contributor.authorKüçükkara, Zeki
dc.contributor.authorÖzkan, İlker Ali
dc.contributor.authorTaşdemir, Şakir
dc.date.accessioned2023-03-18T18:28:27Z
dc.date.available2023-03-18T18:28:27Z
dc.date.issued2022en_US
dc.departmentSelçuk Üniversitesi, Teknoloji Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractEimeria is a parasite that lives in the intestinal, bile duct, and liver tissues of various domestic animals such as rabbits, chickens, geese, ducks, cattle, pigs, cats, and dogs. Due to these conditions, these parasites can spread rapidly, negatively affect animal productivity, and lead to deadly results. For this reason, it is vital to determine the disease early and prevent its spread at an early age. Because of these parasites’ diversity, complexity, and similarity, a system automatically analyzes them using microscopic images is needed. A model was developed to address this problem using Convolutional Neural Networks to predict seven different types of noise on microscopic images. In the developed methodology, the average accuracy rate was 93.85%. This model developed to detect seven different types of parasites has shown that it can be used successfully.en_US
dc.identifier.citationKüçükkara, Z., Özkan, İ. A., Taşdemir, Ş., (2022). Identification of Chicken Eimeria Species from Microscopic Images by Using Convolutional Neural Network Method. Selcuk University Journal of Engineering Sciences, 21, (02), 69-74.en_US
dc.identifier.endpage74en_US
dc.identifier.issn2757-8828en_US
dc.identifier.issue02en_US
dc.identifier.startpage69en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/46149
dc.identifier.volume21en_US
dc.institutionauthorKüçükkara, Zeki
dc.institutionauthorÖzkan, İlker Ali
dc.institutionauthorTaşdemir, Şakir
dc.language.isoenen_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofSelcuk University Journal of Engineering Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectConvolutional Neural Netsen_US
dc.subjectDeep learningen_US
dc.subjectDisease Detectionen_US
dc.subjectImage Classificationen_US
dc.titleIdentification of Chicken Eimeria Species from Microscopic Images by Using Convolutional Neural Network Methoden_US
dc.typeArticleen_US

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