Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models

The analysis of veterinary radiographic imaging data is an essential step in the diagnosis of many thoracic lesions. Given the limited time that physicians can devote to a single patient, it would be valuable to implement an automated system to help clinicians make faster but still accurate diagnose...

Descripción completa

Detalles Bibliográficos
Autores principales: Celniak, Weronika, Wodziński, Marek, Jurgas, Artur, Burti, Silvia, Zotti, Alessandro, Atzori, Manfredo, Müller, Henning, Banzato, Tommaso
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636209/
https://www.ncbi.nlm.nih.gov/pubmed/37945653
http://dx.doi.org/10.1038/s41598-023-46345-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636209/
https://www.ncbi.nlm.nih.gov/pubmed/37945653
http://dx.doi.org/10.1038/s41598-023-46345-z

Ejemplares similares