Classification of racehorse limb radiographs using deep convolutional neural networks

PURPOSE: To assess the capability of deep convolutional neural networks to classify anatomical location and projection from a series of 48 standard views of racehorse limbs. MATERIALS AND METHODS: Radiographs (N = 9504) of horse limbs from image sets made for veterinary inspections by 10 independent...

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Detalles Bibliográficos
Autores principales: Costa da Silva, Raniere Gaia, Mishra, Ambika Prasad, Riggs, Christopher Michael, Doube, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884469/
https://www.ncbi.nlm.nih.gov/pubmed/36726400
http://dx.doi.org/10.1002/vro2.55

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884469/
https://www.ncbi.nlm.nih.gov/pubmed/36726400
http://dx.doi.org/10.1002/vro2.55

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