Segmentation Wizard
Dragonfly’s Segmentation Wizard provides an easy-to-use, guided workflow for implementing powerful deep learning and classical machine learning segmentation of multi-dimensional images. With the Segmentation Wizard, you simply paint the different features of interest within a limited subset of your image data and then train models to identify objects according to a predefined set of rules. The most promising model can then be fine-tuned and exported for repeated segmentation tasks. This empowers any user to achieve robust and reproducible segmentation results that are not influenced by user bias.
Right-click the image data you need to segment in the Data Properties and Settings panel and then choose Segmentation Wizard in the pop-up menu to open the Segmentation Wizard context, shown below. The workspace includes a large views area in which you can label the voxels within a frame and preview model predictions, as well as panels on the right side that include the Input, Models, and Settings tabs.
Segmentation Wizard
Key Features and Benefits
Just some of the many key features and benefits of the Segmentation Wizard are listed below.
- Automatically splits available data into Training, Evaluation, and Test sets.
- Works on frames that are created automatically on the visible part of the data.
- Users apply their specific knowledge to identify features of interest by labeling a limited subset of the image data that is defined by frames. Advanced knowledge of machine learning and deep learning algorithms is not required.
- Direct and quick feedback with previews of model predictions. New frames can be filled automatically with the best model prediction, based on the highest-ranked prediction.
- Models can be fine-tuned by correcting the most-promising prediction.
