A novel deep learning-driven approach for predicting the pelvis soft-tissue deformations toward a real-time interactive childbirth simulation.
Duyen Hien Nguyen-LeAbbass BallitTien-Tuan DaoPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- deep learning
- soft tissue
- mass spring
- surgical simulation
- mass spring model
- real time
- high fidelity
- soft tissue deformation
- finite element
- elastic properties
- medical images
- deformable models
- image registration
- unsupervised learning
- tissue deformation
- magnetic resonance
- minimally invasive
- needle insertion
- haptic feedback
- unsupervised feature learning
- maxillofacial surgery
- feature selection
- machine learning
- weakly supervised
- minimally invasive surgery
- finite element method
- mental models
- image analysis
- pairwise
- image segmentation
- data mining