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

Spremljeno u:

Bibliografski detalji
Izdano u:	PLoS One vol. 20, no. 4 (Apr 2025), p. e0319196
Glavni autor:	Liu, Haolin
Daljnji autori:	Han, Ye, Emerson, Daniel, Rabin, Yoed, Kara, Levent Burak
Izdano:	Public Library of Science
Teme:	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
Online pristup:	Citation/Abstract Full Text Full Text - PDF
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

Budi prvi tko komentira!