This is the ImageJ/Fiji plugin for StarDist, a cell/nuclei detection method for microscopy images with star-convex shape priors ( typically for Dapi like staining of nuclei). The plugin can be used to apply already trained models to new images.
ZEN and APEER – Open Ecosystem for integrated Machine-Learning Workflows
Open ecosystem for integrated machine-learning workflows to train and use machine-learning models for image processing and image analysis inside the ZEN software or on the APEER cloud-based platform
Highlights ZEN
Simple User Interface for Labeling and Training
Engineered Features Sets and Deep Feature Extraction + RF Forrest for Segmentation
Object Classification workflows
Probability Thresholds and Conditional Random Fields
Import your own trained models with support for TensorFlow2 and ONNX
Integration into ZEN Measurement Framework
Support for Multi-dimensional Datasets and Tile Images
open and standardized format to store trained models
ZEN Intellesis Segmentation
ZEN Intellesis - Pretrained Networks
Intellesis Object Classification
Highlights APEER
Web-based tool to label datasets to train Deep Neural Networks
