Development and Comparison of Multimodal Models for Preoperative Prediction of Outcomes After Endovascular Aneurysm Repair
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DOI: 10.3389/fcvm.2022.870132
Abstract: Objective The aim of this study was to develop and compare multimodal models for predicting outcomes after endovascular abdominal aortic aneurysm repair (EVAR) based on morphological, deep learning (DL), and radiomic features. Methods We retrospectively… read more here.
Keywords: multimodal models; development; model; feature model ... See more keywords