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Updated: May 27, 2025

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利用深度学习在解剖学参数化的统计形状模型中进行非线性形状表示

Behnaz Gheflati1, Morteza Mirzaei2, Sunil Rottoo2

  • 1Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada. b_ghefla@encs.concordia.ca.

International journal of computer assisted radiology and surgery
|February 14, 2025
PubMed
概括

本研究介绍了一种基于深度学习的解剖学参数化统计形状模型 (DL-ANATSSM),该模型非线性地将解剖学参数与骨形状联系起来. 这种新的方法改善了3D骨形状预测,并为形态测量分析和患者特定建模提供了潜力.

关键词:
解剖学参数化的模型深度学习是一种深度学习.股骨结构分析 股骨结构分析非线性形状表示的非线性形状表示.统计形状模型是统计形状模型.

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