Wiki source code of 4. Image segmentation with ilastik
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| author | version | line-number | content |
|---|---|---|---|
| 1 | == Analysis approach for series of rodent brain section image == | ||
| 2 | |||
| 3 | There are two main approaches for the analysis of rodent brain section images. | ||
| 4 | |||
| 5 | 1. Pixel classification only (with two or more classes) | ||
| 6 | 1. Pixel classification with two classes (//immunoreactivity// and //background//), followed by object classification with two classes (//objects-of-interest// and //artefact//). | ||
| 7 | |||
| 8 | === H3 Headings Will Appear In The Table of Content === | ||
| 9 | |||
| 10 | ==== You can also add images ==== | ||
| 11 | |||
| 12 | [[image:Collaboratory.Apps.Article.Code.ArticleSheet@placeholder.jpg]] | ||
| 13 | |||
| 14 | Photo by David Clode | ||
| 15 | |||
| 16 | ==== Or code ==== | ||
| 17 | |||
| 18 | Code blocks can be added by using the code macro: | ||
| 19 | |||
| 20 | {{code language="python"}} | ||
| 21 | x = 1 | ||
| 22 | if x == 1: | ||
| 23 | # indented four spaces | ||
| 24 | print("x is 1.") | ||
| 25 | {{/code}} | ||
| 26 | |||
| 27 | (% class="wikigeneratedid" id="HH4Won27tAppearinToC" %) | ||
| 28 |