Changes for page 4. Image segmentation with ilastik
Last modified by annedevismes on 2021/06/08 11:56
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... ... @@ -4,18 +4,10 @@ 4 4 5 5 Ilastik is a versatile image analysis tool specifically designed for the classification, segmentation and analysis of biological images based on supervised machine learning algorithms. 6 6 7 +**There are two main approaches for the analysis of rodent brain section image** 7 7 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 -There are two main approaches for the analysis of rodent brain section image 16 - 17 17 1. Pixel classification only (with two or more classes) 18 -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//). 19 19 20 20 **Which approach is best for my dataset?** 21 21 ... ... @@ -32,24 +32,6 @@ 32 32 * Export the probability maps in HDF5 format, and simple_segmentation images in PNG format with the default settings. 33 33 * Review the results. 34 34 35 -=== === 36 - 37 -=== === 38 - 39 -=== === 40 - 41 -=== === 42 - 43 - 44 - 45 - 46 - 47 - 48 - 49 - 50 - 51 - 52 - 53 53 === (% style="color:#c0392b" %)Object classification workflow(%%) === 54 54 55 55 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//**.**