Evaluation of a Numerical, Real-Time Ultrasound Imaging Model for the Prediction of Litter Size in Pregnant Sows, with Machine Learning

SIMPLE SUMMARY: The use of a numeric model to quantify real-time ultrasonographic (RTU) imaging is a prominent methodfor predicting the expected litter size by training an artificial neural network (ANN) to minimize the error of the prediction measured by metrics, such as root square mean error and...

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Detalles Bibliográficos
Autores principales: Kousenidis, Konstantinos, Kirtsanis, Georgios, Karageorgiou, Efstathia, Tsiokos, Dimitrios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367485/
https://www.ncbi.nlm.nih.gov/pubmed/35953938
http://dx.doi.org/10.3390/ani12151948

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367485/
https://www.ncbi.nlm.nih.gov/pubmed/35953938
http://dx.doi.org/10.3390/ani12151948

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