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

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

Abstract 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, whi...

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Bibliographic Details
Main Authors: Francisco Carrillo-Perez, Francisco M. Ortuno, Alejandro Börjesson, Ignacio Rojas, Luis Javier Herrera
Format: Article
Language:English
Published: BMC 2023-06-01
Series:Cancer Imaging
Subjects:
Digital pathology
Deep learning
Weakly-supervised classification
Online Access:https://doi.org/10.1186/s40644-023-00586-3

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