Automated

It is a trainable interest point (anatomical landmarks) detection algorithm. It requires images and interest point coordinates. It can run independantly (using csv files to describe coordinates) or it can be executed using Cytomine.

Typical application: Morphometric studies (e.g. in zebrafish/drosphila development)

Used in: Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge http://dx.doi.org/10.1109/TMI.2015.2412951 Automatic localization of interest points in zebrafish images with tree-based methods 

SIMcheck is an ImageJ plugin suite for assessing the quality and reliability of Structured Illumination Microscopy (SIM) data. The quality of the raw data, the quality of the reconstruction and the calibration of the microscope can be tested. 

This is the "prediction step" of the Pyxit segmentation model builder. It is a learnable segmentation algorithm based on ground-truth images and segmentation mask. It learns a multiple output pixel classification algorithm. It downloads from Cytomine-Core annotation images+alphamasks from project(s), build a segmentation (pixel classifier) model which is saved locally. Typical application: tumor detection in tissues in histology slides. 

This is a learnable segmentation algorithm based on ground-truth images and segmentation mask. It learns a multiple output pixel classification algorithm. It downloads from Cytomine-Core annotation images+alphamasks from project(s), build a segmentation (pixel classifier) model which is saved locally. Typical application: tumor detection in tissues in histology slides. It is based on "Fast Multi-Class Image Annotation with Random Subwindows and Multiple Output Randomized Trees" http://orbi.ulg.ac.be/handle/2268/12205 and was used in "A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning" http://orbi.ulg.ac.be/handle/2268/162084?locale=en

Nuget package for conversion between color spaces and calculation of color differences. Color spaces available: -CMY -CMYK -HSL -HSB -HSV -CIE L*a*b* -Hunter LAB -L*C*h* -L*u*v* -RGB -XYZ -YXY Color differences available: -CIE76 -CMC l:c -CIE94 -CIE2000. Online example at http://colormine.org/color-converter