A data-driven approach for real-time soft tissue deformation prediction using nonlinear presurgical simulations

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書誌詳細
出版年:	PLoS One vol. 20, no. 4 (Apr 2025), p. e0319196
第一著者:	Liu, Haolin
その他の著者:	Han, Ye, Emerson, Daniel, Rabin, Yoed, Kara, Levent Burak
出版事項:	Public Library of Science
主題:	Digital imaging Finite element method Imaging techniques Software Accuracy Aorta Datasets Data acquisition Boundary conditions Medical imaging Neural networks Image processing Registration Tracking Surgery Machine learning Simulation Soft tissues Predictions Tissues Aneurysms Computed tomography Coronary vessels Biomarkers Three dimensional models Ultrasound Image acquisition Real time Geometry Ultrasonic imaging Environmental
オンライン･アクセス:	Citation/Abstract Full Text Full Text - PDF
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