http://imagej.273.s1.nabble.com/Weka-Trainable-Segmentation-alternative-tp5019833p5019836.html
Sorry for the example JPG-compressed file. Here I attach some examples of
tiff acquired images. Weka Trainable Segmentation plufin is not very
exocrine tissue. Indeed, every islet is scored different in base of the
surrounding cell layer. Do you know how can i approach this problem?
> Dear all,
>
> 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.
>
> Thank you very much in advance!
>
> --
>
> - Adrián Villalba Felipe.
>
https://es.linkedin.com/in/adrianvillalba>
>