Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection

BACKGROUND: Pancreatic ductal carcinoma patients have a really poor prognosis given its difficult early detection and the lack of early symptoms. Digital pathology is routinely used by pathologists to diagnose the disease. However, visually inspecting the tissue is a time-consuming task, which slows...

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Detalles Bibliográficos
Autores principales: Carrillo-Perez, Francisco, Ortuno, Francisco M., Börjesson, Alejandro, Rojas, Ignacio, Herrera, Luis Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294485/
https://www.ncbi.nlm.nih.gov/pubmed/37365659
http://dx.doi.org/10.1186/s40644-023-00586-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294485/
https://www.ncbi.nlm.nih.gov/pubmed/37365659
http://dx.doi.org/10.1186/s40644-023-00586-3

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