ZEN and APEER Machine Learning Platform

Author
Carl Zeiss Microscopy GmbH
Requires
Execution Platform
Implementation Type
Programming Language
Supported image dimension
Interaction Level
License/Openness
Description

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 Segmentation - Training UI

ZEN Intellesis - Pretrained Networks

ZEN Intellesis Segmentation - Use Deep Neural Networks

Intellesis Object Classification

ZEN Object Classification

Highlights APEER

  • Web-based tool to label datasets to train Deep Neural Networks
  • Fully automated hyper-parameter tuning
  • Export of trained models 
APEER Annotation Tool

APEER Annotation Tool

Entry Curator