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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	+**Which approach is best for my dataset?**
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	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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8	8	=== H3 Headings Will Appear In The Table of Content ===
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10	10	==== You can also add images ====