TY  - JOUR 
AU  - Carrillo Pérez, Francisco
AU  - Ortuño Guzmán, Francisco Manuel
AU  - Börjesson, Alejandro
AU  - Rojas Ruiz, Ignacio
AU  - Herrera Maldonado, Luis Javier
PY  - 2023
UR  - https://hdl.handle.net/10481/83963
AB  - 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,...
LA  - eng
PB  - Springer Nature
KW  - Digital pathology
KW  - Deep learning
KW  - Weakly-supervised classification
TI  - Performance comparison between multi‑center histopathology datasets of a weakly‑supervised deep learning model for pancreatic ductal adenocarcinoma detection
DO  - 10.1186/s40644-023-00586-3
ER  -