TubeTK 1.3.3
What's Changed
- Support for Python 3.10
- Significant increase in speed for PDFSegmenter and filters that depend on it (e.g., tube seed generator)
- User can specify an "Ignore" label, and those pixels are not used in PDF estimation or classification. This allows the background (a significant portion of most medical images) to be skipped, thereby avoiding computationally expensive feature vector generation methods being called on those voxels.
Full Changelog: v1.3.2...v1.3.3