Artifacts using Trainable Segmentation (22)
ModularImageAnalysis (MIA) is an ImageJ plugin which provides a modular framework for assembling image and object analysis workflows. Detected objects can be transformed, filtered, measured and related. Analysis workflows are batch-enabled by default, allowing easy processing of high-content datasets.
Last Release on Nov 14, 2025
3. SNT5 usages
org.morphonets » SNTGPL
The ImageJ framework for quantitative neuroanatomy
Last Release on Jan 27, 2024
Segmentation plugin for Indago projects, based on Fiji's Trainable Weka Segmentation
Last Release on Jul 6, 2019