Interpretable Artificial Intelligence for Analysing Changes in Gases in the Uterine Environment of Cows According to Physiological Structures in the Ovary

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dc.contributor.authorAli Risvanli
dc.contributor.authorBurak Tanyeri
dc.contributor.authorGüngör Yildirim
dc.contributor.authorYetkin Tatar
dc.contributor.authorMehmet Gedikpinar
dc.contributor.authorHakan Kalender
dc.contributor.authorTarik Safak
dc.contributor.authorBurak Yuksel
dc.contributor.authorBurcu Karagulle
dc.contributor.authorOznur Yilmaz Koç
dc.contributor.authorCebrail Barut
dc.contributor.authorMehmet Akif Kilinc
dc.date.accessioned2025-03-17T07:13:43Z
dc.date.available2025-03-17T07:13:43Z
dc.date.issued2025-02-19
dc.departmentFakülteler, Veteriner Fakültesi, Klinik Bilimler Bölümü
dc.description.abstractThe objective of the present study was to examine the relationship between the gases in a cow's uterine environment and its ovarian physiological structures using the sunflower optimisation algorithm (SFOA) deployed in a device called Metrisör, developed by our project team. A total of 500 uteruses obtained from slaughtered cows served as the experimental sample. Gas measurements were taken from 489 uteruses with no clinical metritis or microbiological growth. Additionally, the diameters of the corpus luteum and follicles in the ovaries were measured using callipers. These results were then analysed based on the presence or absence of a corpus luteum (CL) and follicles larger or smaller than 1.5 cm. According to uterine gas fluctuations, the presence and absence of CL could be detected at rates of 80.60% and 79.60%, respectively. Also, based on uterine gas changes, the presence of ovarian follicles larger than 1.5 cm was determined 82% of the time, and the presence of follicles smaller than 1.5 cm was determined 80% of the time. In conclusion, it was found that different stages of a cow's sexual cycle might involve changes in uterine gases. Thus, the data from this study may enable the development of a new estrus detection method for cows.
dc.identifier.citationRisvanli, A., Tanyeri, B., Yildirim, G., Tatar, Y., Gedikpinar, M., Kalender, H., ... & Kilinc, M. A. (2025). Interpretable Artificial Intelligence for Analysing Changes in Gases in the Uterine Environment of Cows According to Physiological Structures in the Ovary. Veterinary Medicine and Science, 11(2), e70252.
dc.identifier.doi10.1002/vms3.70252
dc.identifier.issn2053-1095
dc.identifier.issn2053-1095
dc.identifier.issue2
dc.identifier.pmid39969187
dc.identifier.scopus2-s2.0-85218921256
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1002/vms3.70252
dc.identifier.urihttps://hdl.handle.net/20.500.12604/8563
dc.identifier.volume11
dc.identifier.wosWOS:001424995300001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakPubMed
dc.institutionauthorYılmaz Koç, Öznur
dc.institutionauthorid0000-0003-0424-9471
dc.publisherWiley
dc.relation.ispartofVeterinary Medicine and Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectcorpus luteum
dc.subjectcow
dc.subjectfollicle
dc.subjectgas
dc.subjectMetrisör
dc.titleInterpretable Artificial Intelligence for Analysing Changes in Gases in the Uterine Environment of Cows According to Physiological Structures in the Ovary
dc.typejournal-article
oaire.citation.issue2
oaire.citation.volume11

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