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5	5	1. Pixel classification only (with two or more classes)
6	6	1. Pixel classification with two classes (//immunoreactivity// and //background//), followed by object classification with two classes (//objects-of-interest// and //artefact//).
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8		-=== H3 Headings Will Appear In The Table of Content ===
	8	+**Which approach is best for my dataset?**
9	9
10		-==== You can also add images ====
	10	+As a general rule, pixel classification is suitable for images in which there are clear differences in the colour, intensity and/ or texture of the feature-of-interest versus the background and other structures.  If there is non-specific labelling in the image that is very similar in appearance to the labelling-of-interest, object classification may allow the non-specific labelling to be filtered out based on object level features such as size and shape. The best approach is determined by trial and error.
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12		-[[image:Collaboratory.Apps.Article.Code.ArticleSheet@placeholder.jpg]]
	12	+=== Pixel classification workflow ===
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	14	+
	15	+==== ====
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14	14	Photo by David Clode
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16	16	==== Or code ====