http://imagej.273.s1.nabble.com/Weka-Trainable-Segmentation-alternative-tp5019833p5019837.html
>
> wEKA_INSULITIS0004.tif
> <
https://drive.google.com/file/d/1cAtH2qKeDXdE9uEAg1lC9V2EP98JP> bUD/view?usp=drive_web>
>
> wEKA_INSULITIS0005.tif
> <
https://drive.google.com/file/d/15yHjug2I4gu8rXbRIcEEBGKRrOcgA> O51/view?usp=drive_web>
>
> wEKA_INSULITIS0006.tif
> <
https://drive.google.com/file/d/1VK5YmHAfTHMZwTW7XFnFXMPjkyeiU> F72/view?usp=drive_web>
>
> wEKA_INSULITIS0007.tif
> <
https://drive.google.com/file/d/1Bojzu-_vz8Nut13-> zaGCw5CN5wyn1H1i/view?usp=drive_web>
>
> wEKA_INSULITIS0008.tif
> <
https://drive.google.com/file/d/1uPdOlprtusdaXbsjdGj-> 6QK-0T6f9ctS/view?usp=drive_web>
> Dear all,
>
> Sorry for the example JPG-compressed file. Here I attach some examples of
> tiff acquired images. Weka Trainable Segmentation plufin is not very
> sensitive in order to split the islet (round shaped) versus the rest of
> exocrine tissue. Indeed, every islet is scored different in base of the
> surrounding cell layer. Do you know how can i approach this problem?
>
> Thank you in advance,
>
> 2018-01-06 0:39 GMT+01:00 Adrián Villalba <
[hidden email]>:
>
> > 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> >
> >
>
>
> --
>
> - Adrián Villalba Felipe.
>
https://es.linkedin.com/in/adrianvillalba>
> --
> ImageJ mailing list:
http://imagej.nih.gov/ij/list.html>