Introduction
Motivation
Related works
Contributions
Methods
Learning strategy
Problem statement
Simulation for domain adaptation and self-supervised learning
Resection simulation for self-supervised learning
Initial cavity shape
Cavity label
Simulating cavities filled with CSF
Experiments and results
Data
Public data for simulation
Multicenter epilepsy data
Brain tumor datasets
Preprocessing
Network architecture and implementation details
Processing during training
Experiments
Self-supervised learning: training with simulated resections only
Fine-tuning on small clinical datasets
Qualitative evaluation on brain tumor resection dataset
Qualitative evaluation on intraoperative image
Discussion and conclusion
Acknowledgements
Declarations
Conflicts of interest
Code availability
pip install resseg
.