Training and validation of a novel non-invasive imaging system for ruling out malignancy in canine subcutaneous and cutaneous masses using machine learning in 664 masses

OBJECTIVE: To train and validate the use of a novel artificial intelligence-based thermal imaging system as a screening tool to rule out malignancy in cutaneous and subcutaneous masses in dogs. ANIMALS: Training study: 147 client-owned dogs with 233 masses. Validation Study: 299 client-owned dogs wi...

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Detalles Bibliográficos
Autores principales: Dank, Gillian, Buber, Tali, Rice, Anna, Kraicer, Noa, Hanael, Erez, Shasha, Tamir, Aviram, Gal, Yehudayoff, Amir, Kent, Michael S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Veterinary Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570610/
https://www.ncbi.nlm.nih.gov/pubmed/37841459
http://dx.doi.org/10.3389/fvets.2023.1164438

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570610/
https://www.ncbi.nlm.nih.gov/pubmed/37841459
http://dx.doi.org/10.3389/fvets.2023.1164438

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