Changes for page 4. Image segmentation with ilastik
Last modified by annedevismes on 2021/06/08 11:56
Summary
-
Page properties (1 modified, 0 added, 0 removed)
Details
- Page properties
-
- Content
-
... ... @@ -4,10 +4,18 @@ 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** 8 8 8 + 9 + 10 + 11 + 12 + 13 + 14 + 15 +There are two main approaches for the analysis of rodent brain section image 16 + 9 9 1. Pixel classification only (with two or more classes) 10 -1. Pixel classification with two classes (//immunoreactivity// and //background//), followed by Object classification with two classes (//objects of interest// and //artefact//).18 +1. Pixel classification with two classes (//immunoreactivity// and //background//), followed by object classification with two classes (//objects of interest// and //artefact//). 11 11 12 12 **Which approach is best for my dataset?** 13 13 ... ... @@ -24,6 +24,24 @@ 24 24 * Export the probability maps in HDF5 format, and simple_segmentation images in PNG format with the default settings. 25 25 * Review the results. 26 26 35 +=== === 36 + 37 +=== === 38 + 39 +=== === 40 + 41 +=== === 42 + 43 + 44 + 45 + 46 + 47 + 48 + 49 + 50 + 51 + 52 + 27 27 === (% style="color:#c0392b" %)Object classification workflow(%%) === 28 28 29 29 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//**.**