Official preview for the MICCAI 2026 paper Shape-Adaptive Guidance Signal for Interactive Cortical Sulcal Labeling in the ISUS repository.
We present a spherical CNN-based interactive segmentation framwork that leverages a shape-adaptive guidance signal designed to label cortical sulci. The user interactions are encoded on spherical surfaces by solving eikonal equation with a curvature-based speed function.
This repository will provide functions that can be used in training and evaluating interactive segmentation networks on spherical surfaces.
- Rule-based Sampler
- Weighted Random Sampler
- Initial Seeds Sampler
- Angular Distance Transform (ADT)
- Disk
- Weighted Geodesic Distance Transform (WGDT)
Code release coming soon.