Self-Supervised Feature Detection and 3D Reconstruction for Real-Time Neuroendoscopic Guidance

The self-supervised feature detection method advances capabilities for vision-based guidance and augmented visualization of target structures in neuroendoscopic procedures. The approach could enhance the accuracy and precision of neurosurgery to improve patient outcomes.