ANTsPy is a Python library for medical image analysis, providing algorithms for registration, segmentation, and visualization. Current version is 0.6.3, released in 2024. It wraps ANTs (Advanced Normalization Tools) and is actively maintained.
pip install antspyxNo compatibility data collected yet for this library.
Verified import paths — ran on the pinned version, not inferred.
Basic ANTsPy usage: image loading, registration, and segmentation.
Change imports to `import ants`.
Use `import ants`.
Replace `ants.segment(...)` with `ants.atropos(...)` or `ants.kmeans_segmentation(...)`.
Convert numpy array to ANTsImage with `ants = ants.from_numpy(numpy_array)` before processing.
Use `import ants` instead of `import antspy`.
Use `ants.new_image_like()` or `ants.from_numpy()` to create an ANTsImage.
Ensure your numpy array is 2D (grayscale) or 3D (volumetric). For 4D, check the documentation.
No dependency data recorded yet.