Speaker
Mehdi Seifi
(Human Technopole, HT)
Description
We believe that FeatureForest addresses some of the shortcomings of both deep learning approaches and classical classifiers. While not a novelty, coupling deep-learning features and random forest allows complex biological objects to be segmented easily, without the need for extensive manual data labeling or expert deep-learning knowledge. We want to advertise the tool as it can be helpful to many researchers and want to gather feedback directly from the community.
| Target audience | Beginner users, Intermediate users, Advanced users, Beginner developers, Intermediate developers, Advanced developers |
|---|---|
| Keywords | semantic segmentation, deep-learning, random forest, napari |
