27 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Efficient parallelizable algorithms for multidimensional arrays to speed up your... | 57K | |
| Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Tra... | 29K | |
| A set of tools for characterizing and analyzing 3D images of porous materials | 16K | |
| Multilabel and Grey 3D morphological image processing functions. Dilate, Erode, ... | 12K | |
| QuantImPy, a Python library for scientific image processing. | 5K | |
| Tracking by Association with Transformers | 3K | |
| Open source Python library for building bioimage analysis pipelines | 2K | |
| Collection of representation learning models, techniques, callbacks, utils, used... | 2K | |
| Common repository for connectomics-related libraries. | 2K | |
| Large-scale multi-hypotheses cell tracking | 2K | |
| Vector fields for instance segmentation. | 2K | |
| Omnipose: a high-precision solution for morphology-independent cell segmentation | 1K | |
| Napari plugin to manually correct epithelia segmentation in movies | 1K | |
| Obsessive Coder's Dependency Toolkit — Python utilities for array manipulation, ... | 1K | |
| tensorflow/keras implementation of DiSTNet 2D | 1K | |
| Geometrical reconstruction of cell assemblies from instance segmentations | 594 | |
| Merge StarDist Masks - additional postprocessing for StarDist | 552 | |
| AortaExplorer can segment and analyse the human aorta in CT scans. | 480 | |
| Generate consensus 3D cells segmentations by combining 2D cell segmentations fro... | 394 | |
| A set of tools to process and analyze digital porous media | 320 | |
| A napari plugin to interpolate any number of nd-labels across a single dimension... | 254 | |
| Stardist Stacked Timepoints | 211 | |
| Segmentation and analysis of cardiac computed tomography scans | 151 | |
| a generalist algorithm for cellular segmentation | 132 | |
| Omnipose: a high-precision solution for morphology-independent cell segmentation | 112 | |
| A suite of tools for large scale ND training. | 87 | |
| Framework for Cell & Region Image Segmentation/Classification | 37 |
