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10	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		-=== Pixel classification workflow ===
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14		-For a quick introduction, watch: [[https:~~/~~/www.youtube.com/watch?v=5N0XYW9gRZY&feature=youtu.be>>url:https://www.youtube.com/watch?v=5N0XYW9gRZY&feature=youtu.be]]
	13	+=== H3 Headings Will Appear In The Table of Content ===
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	15	+==== You can also add images ====
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	17	+[[image:Collaboratory.Apps.Article.Code.ArticleSheet@placeholder.jpg]]
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18		-==== ====
	19	+Photo by David Clode
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	21	+==== Or code ====
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	23	+Code blocks can be added by using the code macro:
	24	+
	25	+{{code language="python"}}
	26	+x = 1
	27	+if x == 1:
	28	+ # indented four spaces
	29	+ print("x is 1.")
	30	+{{/code}}
	31	+
	32	+(% class="wikigeneratedid" id="HH4Won27tAppearinToC" %)
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