manual image segmentation widget for jupyter
-
Updated
Sep 3, 2020 - Python
manual image segmentation widget for jupyter
Cross-platform desktop editor for manual and semi-automatic 3D/4D medical image segmentation. Label dynamic MRI and 4D flow MRI in NIfTI/NRRD with linked spatial-temporal views, 3D rendering, temporal propagation, and metadata-preserving I/O.
[IJHCS] UTA7: a dataset of manual annotations provided by radiologists in medical imaging for breast cancer diagnosis. The work was published in the International Journal of Human-Computer Studies.
A single, JSON-configured Slicer module. No per-species Python module - one config.json describes a study (which images, which segments, which landmarks, batch export, how the Segment Editor should behave, ...), and the module loads and executes it.
To associate your repository with the manual-segmentation topic, visit your repo's landing page and select "manage topics."