http://imagej.273.s1.nabble.com/Weka-Trainable-Segmentation-alternative-tp5019833p5019841.html
classification not segmentation. The Trainable Weka Segmentation transforms
pixel (and not the entire image) gets assigned a class. You might want to
> Dear Ignacio,
>
> This is an example image with the different types of islets and insulitis.
> The legend is the following:
> A = grade 0, no insulitis; B = grade 1, peri-insular; C = grade 2, mild
> insulitis (<25%
> of the islet infiltrated); D = grade 3, moderate insulitis (25–75% of the
> islet
> infiltrated); E = grade 4, severe insulitis (>75% islet infiltration).
>
> I would like to compare my template images against a new image
> automatically, so i do not have to do it manually in the microscope. But
> Weka has not been useful, first of all because Hematoxilin/Eosin staining
> is not very different between islets and the rest of tissue. Moreover, the
> different score of the 5 types of islets (scored from 0 to 4) is also
> tricky for the Weka algorithm. Do you think i can use a different approach?
>
>
> Thank you very much for your time and attention,
>
>
> <
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> 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>
>