Deep Learning-based Framework for Automatic Cranial Defect Reconstruction and Implant Modeling
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DOI: 10.48550/arxiv.2204.06310
Abstract: BACKGROUND AND OBJECTIVE This article presents a robust, fast, and fully automatic method for personalized cranial defect reconstruction and implant modeling. METHODS We propose a two-step deep learning-based method using a modified U-Net architecture to… read more here.
Keywords: defect reconstruction; implant modeling; reconstruction; deep learning ... See more keywords