An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer
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DOI: 10.1038/s41598-024-84749-7
Abstract: To retrospectively develop and validate an interpretable deep learning model and nomogram utilizing endoscopic ultrasound (EUS) images to predict pancreatic neuroendocrine tumors (PNETs). Following confirmation via pathological examination, a retrospective analysis was performed on a… read more here.
Keywords: deep learning; interpretable deep; model nomogram; model ... See more keywords
Interpretable deep learning model and nomogram for predicting pathological grading of PNETs based on endoscopic ultrasound
Sign Up to like & getrecommendations! Published in 2025 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-025-03193-3
Abstract: This study aims to develop and validate an interpretable deep learning (DL) model and a nomogram based on endoscopic ultrasound (EUS) images for the prediction of pathological grading in pancreatic neuroendocrine tumors (PNETs). This multicenter… read more here.
Keywords: interpretable deep; deep learning; pathological grading; model nomogram ... See more keywords