| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Veterinary Parasitology (Q1) | ||
| Dergi ISSN | 0304-4017 Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2025 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-02-2025 |
| Cilt / Sayı / Sayfa | 334 / 1 / 110400–0 | DOI | 10.1016/j.vetpar.2025.110400 |
| Makale Linki | https://doi.org/10.1016/j.vetpar.2025.110400 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| Eimeria is a protozoan parasite that causes coccidiosis in various animal species, especially in chickens, resulting in infections characterized by intestinal damage, hemorrhagic diarrhea, lethargy, and high mortality rates in the absence of effective control measures. The rapid spread of these parasites through ingestion of food and drinking water can seriously endanger animal health and productivity, leading to significant economic losses in the chicken industry. Chicken Eimeria species are difficult to identify by conventional microscopy due to similarities in oocyst morphologies. In addition, species identification, which is significant in epidemiological studies, is a time-consuming process involving the sporulation stage and various measurements, requiring labor and expertise. Therefore, the objective of this study was to develop an automated system to classify digital micrographic images of sporulated Eimeria … |
| Anahtar Kelimeler |
| Chicken coccidiosis | Deep transfer learning | Digital micrograph analysis | Poultry | Xception model |
| Atıf Sayıları | |
| Web of Science | 3 |
| Scopus | 2 |
| Google Scholar | 6 |
| Dergi Adı | VETERINARY PARASITOLOGY |
| Kısa Adı | VET PARASITOL |
| Yayıncı | ELSEVIER |
| Açık Erişim | Hayır |
| ISSN | 0304-4017 |
| E-ISSN | 1873-2550 |
| Wos Quartile | Q1 |
| Scopus Quartile | Q1 |
| Tarandığı Indeksler | SCIE , Scopus |
| WoS Kategoriler | PARASITOLOGY | VETERINARY SCIENCES |
| Scopus Kategoriler | VETERINARY (MISCELLANEOUS) | MEDICINE (MISCELLANEOUS) | PARASITOLOGY |