Deep Learning for Automatic Diagnosis and Morphologic Characterization of Malignant Biliary Strictures Using Digital Cholangioscopy: A Multicentric Study

SIMPLE SUMMARY: Diagnosis and characterization of biliary strictures is challenging, even after the introduction of digital single-operator cholangioscopy (D-SOC). The endoscopist’s visual impression has a suboptimal accuracy and there is a significant interobserver variability. Artificial intellige...

Descripción completa

Detalles Bibliográficos
Autores principales: Saraiva, Miguel Mascarenhas, Ribeiro, Tiago, González-Haba, Mariano, Agudo Castillo, Belén, Ferreira, João P. S., Vilas Boas, Filipe, Afonso, João, Mendes, Francisco, Martins, Miguel, Cardoso, Pedro, Pereira, Pedro, Macedo, Guilherme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571941/
https://www.ncbi.nlm.nih.gov/pubmed/37835521
http://dx.doi.org/10.3390/cancers15194827

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571941/
https://www.ncbi.nlm.nih.gov/pubmed/37835521
http://dx.doi.org/10.3390/cancers15194827

Ejemplares similares