ToDo: Clear up relation between Classification, Clustering, and Prediction and recognition (also in main EDAM)



ImJoy is a plugin powered hybrid computing platform for deploying deep learning applications such as advanced image analysis tools. ImJoy runs on mobile and desktop environment cross different operating systems, plugins can run in the browser, localhost, remote and cloud servers.With ImJoy, delivering Deep Learning tools to the end users is simple and easy thanks to its flexible plugin system and shareable plugin URL. Developers can easily add rich and interactive web interfaces to existing Python code.


scikit-learn (sklearn)


Scikit-learn (sklearn) is a python library used for machine learning. sklearn contains simple and efficient tools for data mining and data analysis. Modules and functions include those for classification, regression, clustering, dimensionality reduction, model selection and data preprocessing. Many people have contributed to sklearn (list of authors)

has topic
scikit-learn logo.

3-D Density Kernel Estimation


3-D density kernel estimation (DKE-3-D) method, utilises an ensemble of random decision trees for counting objects in 3D images. DKE-3-D avoids the problem of discrete object identification and segmentation, common to many existing 3-D counting techniques, and outperforms other methods when quantification of densely packed and heterogeneous objects is desired. 



SuRVoS: Super-Region Volume Segmentation workbench

A volume is first partitioned into Super-Regions (superpixels or supervoxels) and then interactively segmented by the user providing training annotations. SuRVoS can then learn from and extend the annotations to the whole volume.

User interface of SuRVoS showing example annotation on soft x-ray tomography data