16
Components
6
Normalizers
8
Postprocessors
1
Models
1
Pipelines

📥 Normalizers

Input normalization components

Dilate

v1.0.0

Morphological dilation operation using a cube-shaped structuring element

Euclidean Distance

v1.0.0

Euclidean Distance Transform or Signed Distance Function with optional activation

Lambda Normalizer

v1.0.0

Apply custom normalization using a lambda expression

MinMax Normalizer

v1.0.0

Clips values to a range and normalizes to [0, 1] with optional inversion

Standard Normalizer

v1.0.0

Standard normalization with clipping and scaling for image data

Z-Score Normalizer

v1.0.0

Standardization using z-score normalization (x - mean) / std

📤 Postprocessors

Output post-processing components

Affinity Postprocessor

v1.0.0

Watershed segmentation using affinities with boundary filtering

Channel Selection

v1.0.0

Select specific channels from multi-channel output

Default Postprocessor

v1.0.0

Clips values and scales to uint8 range for visualization

Instance Segmentation

v1.0.0

Post-processing for instance segmentation with connected components analysis

Label Postprocessor

v1.0.0

Connected component labeling to assign unique IDs to segmented regions

Lambda Postprocessor

v1.0.0

Apply custom post-processing using a lambda expression

Morton Segmentation Relabeling

v1.0.0

Relabel segmentation based on Morton order for improved continuity across blocks

Threshold Postprocessor

v1.0.0

Binary thresholding to create segmentation masks

🤖 Models

Machine learning models

Example Model

v1.0.0

A placeholder model for demonstrating CellMapFlow hub integration

🔄 Pipelines

Pre-built pipeline templates

Basic Segmentation Pipeline

v1.0.0

Simple pipeline for basic segmentation tasks with normalization, model inference, and instance segmentation