Shape-Lab/SPHARM-Net
SPHARM-Net: Spherical Harmonics-based Convolutional Neural Network
This project helps neuroscientists and medical researchers automatically identify and label different regions on 3D brain scans. You input raw spherical brain surface data, typically from FreeSurfer, and it outputs precise, vertex-wise segmentations (labels for each point) of the brain's anatomy. This process significantly speeds up detailed analysis of brain structures without needing extensive manual annotation.
No commits in the last 6 months.
Use this if you need to accurately and efficiently segment spherical data, such as brain surfaces, into distinct anatomical regions for research or clinical applications.
Not ideal if your data is not inherently spherical or if you require segmentation of non-anatomical, non-spherical structures.
Stars
98
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 01, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Shape-Lab/SPHARM-Net"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lmcinnes/umap
Uniform Manifold Approximation and Projection
pyRiemann/pyRiemann
Machine learning for multivariate data through the Riemannian geometry of positive definite...
geomstats/geomstats
Computations and statistics on manifolds with geometric structures.
higra/Higra
Hierarchical Graph Analysis
pavlin-policar/openTSNE
Extensible, parallel implementations of t-SNE