Neural Network Classification Workflow (beta) released 02 March 2020
We are happy to announce an exciting new beta release of ilastik.
ilastik
the interactive learning and segmentation toolkit
Leverage machine learning algorithms to easily segment, classify, track and count your cells or other experimental data. Most operations are interactive, even on large datasets: you just draw the labels and immediately see the result. No machine learning expertise required.
Pixel Classification
Train using simple brush strokes
Pixel Classification
Semantic segmentation using predicted class probabilities
Object classification
Predict the semantic class of objects
Carving
Extract objects from a 3D volume semi-automatically
Pixel Features
Select from a simple set of predefined image features
Counting
Count densely packed cells
Tracking
Automatic and manual tracking of dividing cells (2D+3D)
Discuss
Get in touch with other users at forum.image.sc or contact the friendly ilastik team directly.