I am trying to use the Weka Trainable Segmentation plugin in order to
classify islets of Langerhans in Hematoxilin/Eosin tissues. There are four
different types of islets depending on insulitis (immune cell infiltration
within the islet) as i show you in an attached JPG-picture (just to show
you the expected result, not to manipulate).
My goal is to do it automatically in imageJ, rather tan manual scoring of
pictures. So i thought it would be a good idea to use the Trainable Weka
Segmentation plugin just to train the algorithm to do it automatically but
it fails. (I cannot attach the classifier.model archive because it is
rejected by the mailing list conditions).
I think that maybe it is not a proble for the Weka, instead being a
conceptual problem and that maybe you could know another imageJ tool to
pursuit that goal.