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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Bibliografische Detailangaben

Hauptverfasser:	Francisco Carrillo-Perez, Francisco M. Ortuno, Alejandro Börjesson, Ignacio Rojas, Luis Javier Herrera
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2023-06-01
Schriftenreihe:	Cancer Imaging
Schlagworte:	Digital pathology Deep learning Weakly-supervised classification
Online-Zugang:	https://doi.org/10.1186/s40644-023-00586-3
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