Deep learning in veterinary medicine, an approach based on CNN to detect pulmonary abnormalities from lateral thoracic radiographs in cats

Thoracic radiograph (TR) is a complementary exam widely used in small animal medicine which requires a sharp analysis to take full advantage of Radiographic Pulmonary Pattern (RPP). Although promising advances have been made in deep learning for veterinary imaging, the development of a Convolutional...

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Detalles Bibliográficos
Autores principales: Dumortier, Léo, Guépin, Florent, Delignette-Muller, Marie-Laure, Boulocher, Caroline, Grenier, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258008/
https://www.ncbi.nlm.nih.gov/pubmed/35794167
http://dx.doi.org/10.1038/s41598-022-14993-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258008/
https://www.ncbi.nlm.nih.gov/pubmed/35794167
http://dx.doi.org/10.1038/s41598-022-14993-2

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