Research Article
Automatic Segmentation of Colon in 3D CT Images and Removal of Opacified Fluid Using Cascade Feed Forward Neural Network
Algorithm 2
Steps implemented for the removal of bowels.
| Initialize a new slice (Diff) to store the output by SLDR | | Assign = No of continuous segments in slice () | | For () | | Assignment of the minimum value and its corresponding location to new variables | | If the size of the segment | | Select the organ in initial segmented slice (IS) based on the location predicted above and assign it to variable BW | | If (the organ selected by BW matches with the organ in previous Segmented slice) and | | (area of that segmented portion >100) //A conformation Step to avoid colon to mix up with non-colon segments | | Assign BW = false | | Repeat the above process and concatenate the segments in that new slice by means of OR operation |
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