
Machine Learning
With Machine Learning in arivis Vision4D the segmentation of multi-channel images becomes an easy task using the scientists expertise to mark and classify structures of interest without the need to be an image analysis expert:
- Easy to use, guided workflow specifically for users with little knowledge in image analysis
- Definition of expected results by labelling a few lines in the image
- Creation of robust and reliable analysis results
- Less time to results by re-use of trainings on other and multiple data sets
- Fully integrated in the arivis Vision4D analysis module
- Direct fast feedback with previews of results and probability maps
- Much faster and more reproducible compared to manual segmentation
- Also for experts worth a try when other algorithms fail or are very tedious
Workflow:
Our new UI and the smooth workflow integration guides the customer in a few steps through the process:
Train
Save
Apply
- Train: Use specific user knowledge to recognize and classify structures of interest
- Save training: Save or further improve your training by adding more labels any time
- Apply Training for segmentation of one or several image sets: Start segmentation with a single click or use the Batch Analysis Module to process hundreds of data sets at once