Jan-Philipp Praetorius, Kassandra Walluks, Carl-Magnus Svensson, Dirk Arnold, Marc Thilo Figge

Submitted

A comparative assessment to quantify intramuscular fat in H&E stained tissue sections

IMFSegNet

Please visit github repository for more information.

data contains all raw images, predictions and quantifications derived from the images
examples contains example python scripts for the cross-validation and the corresponding training-test data
model contains all embedded image analysis workflows with the corresponding versions for JIPipe, ilastik, kmeans clustering and the IMFSegNet
sheepfat contains all python scripts used to build and train the SegNet architecture as well as predict with it and the kmeans clustering
SheepFat.jip contains the JIPipe project file which is used to process the raw images into quantitative results

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