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Last modified by annedevismes on 2021/06/08 11:56
From version 19.1
edited by puchades
on 2020/09/24 12:17
Change comment: There is no comment for this version
To version 20.1
edited by puchades
on 2020/09/24 12:17
Change comment: There is no comment for this version

Summary

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7 7  **There are two main approaches for the analysis of rodent brain section image**
8 8  
9 9  1. Pixel classification only (with two or more classes)
10 -1. Pixel classification with two classes (//immunoreactivity// and //background//), followed by object classification with two classes (//objects of interest// and //artefact//).
10 +1. Pixel classification with two classes (//immunoreactivity// and //background//), followed by Object classification with two classes (//objects of interest// and //artefact//).
11 11  
12 12  **Which approach is best for my dataset?**
13 13  
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24 24  * Export the probability maps in HDF5 format, and simple_segmentation images in PNG format with the default settings.
25 25  * Review the results.
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45 45  === (% style="color:#c0392b" %)Object classification workflow(%%) ===
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47 47  There are three options on the ilastik start up page for running Object Classification.  Choose the //Object Classification with Raw Data and Pixel Prediction Maps as input//**.**