股骨光性瘤细分对自主有限元分析的影响

Oren Rachmil1, Kent Myers2, Omri Merose3

  • 1Computational Mechanics & Experimental Biomechanics Lab, School of Mechanical Engineering, The Iby and Aladar Fleischman Faculty of Engineering, Tel-Aviv University, Ramat Aviv 69978, Israel.

概括

将自动深度学习瘤细分集成到有限元分析 (FEA) 中,改善了股骨病理骨折风险预测. 这种增强允许更准确的菌株分析,帮助骨科瘤学家在转移性骨病的临床决策.