Development and validation of a combined nomogram model based on deep learning contrast-enhanced ultrasound and clinical factors to predict preoperative aggressiveness in pancreatic neuroendocrine neoplasms
Objectives This study aimed to develop and validate a combined nomogram model based on deep learning (DL) contrast-enhanced ultrasound (CEUS) and clinical factors to preoperatively predict the aggressiveness of pancreatic neuroendocrine neoplasms (PNENs). Methods In this retrospective study, consecu...
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Veröffentlicht in: | European radiology 2022-11, Vol.32 (11), p.7965-7975 |
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Sprache: | eng |
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