Cargando…
Image Classification and Automated Machine Learning to Classify Lung Pathologies in Deceased Feedlot Cattle
SIMPLE SUMMARY: Respiratory syndromes are the main cause of ill and deceased animals in the feedlot industry. The correct diagnostic of lung lesions is important to prevent and adapt managements strategies within feedyards. The necropsy of deceased animals is veterinarians’ main tool for postmortem...
Autores principales: | Bortoluzzi, Eduarda M., Schmidt, Paige H., Brown, Rachel E., Jensen, Makenna, Mancke, Madeline R., Larson, Robert L., Lancaster, Phillip A., White, Brad J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960640/ https://www.ncbi.nlm.nih.gov/pubmed/36851417 http://dx.doi.org/10.3390/vetsci10020113 |
Ejemplares similares
-
Epidemiological Factors Associated with Gross Diagnosis of Pulmonary Pathology in Feedyard Mortalities
por: Bortoluzzi, Eduarda M., et al.
Publicado: (2023) -
Determining Frequency of Common Pulmonary Gross and Histopathological Findings in Feedyard Fatalities
por: Schmidt, Paige H., et al.
Publicado: (2023) -
An Evaluation of Temporal Distributions of High, Low, and Zero Cohort Morbidity of Cumulative First Treatment Bovine Respiratory Disease and Their Associations with Demographic, Health, and Performance Outcomes in US Feedlot Cattle
por: Johnson, Blaine, et al.
Publicado: (2023) -
Predicting Bovine Respiratory Disease Risk in Feedlot Cattle in the First 45 Days Post Arrival
por: Rojas, Hector A., et al.
Publicado: (2022) -
The nasopharyngeal microbiota of feedlot cattle
por: Holman, Devin B., et al.
Publicado: (2015)