📥 Normalizers
Input normalization components
Dilate
v1.0.0Morphological dilation operation using a cube-shaped structuring element
Euclidean Distance
v1.0.0Euclidean Distance Transform or Signed Distance Function with optional activation
Lambda Normalizer
v1.0.0Apply custom normalization using a lambda expression
MinMax Normalizer
v1.0.0Clips values to a range and normalizes to [0, 1] with optional inversion
Standard Normalizer
v1.0.0Standard normalization with clipping and scaling for image data
Z-Score Normalizer
v1.0.0Standardization using z-score normalization (x - mean) / std
📤 Postprocessors
Output post-processing components
Affinity Postprocessor
v1.0.0Watershed segmentation using affinities with boundary filtering
Channel Selection
v1.0.0Select specific channels from multi-channel output
Default Postprocessor
v1.0.0Clips values and scales to uint8 range for visualization
Instance Segmentation
v1.0.0Post-processing for instance segmentation with connected components analysis
Label Postprocessor
v1.0.0Connected component labeling to assign unique IDs to segmented regions
Lambda Postprocessor
v1.0.0Apply custom post-processing using a lambda expression
Morton Segmentation Relabeling
v1.0.0Relabel segmentation based on Morton order for improved continuity across blocks
Threshold Postprocessor
v1.0.0Binary thresholding to create segmentation masks
🤖 Models
Machine learning models
Example Model
v1.0.0A placeholder model for demonstrating CellMapFlow hub integration
🔄 Pipelines
Pre-built pipeline templates
Basic Segmentation Pipeline
v1.0.0Simple pipeline for basic segmentation tasks with normalization, model inference, and instance segmentation