I want to remove the extra boundaries from liver in CT images after the initial segmentation. how to do this?
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Ahmad
el 9 de Ag. de 2017
Comentada: Image Analyst
el 16 de Abr. de 2022
Hello everyone. I want to remove the extra boundaries from the liver in CT abdominal images dataset. I segmented the liver from CT image but the boundaries of the liver also miss classified during my deep learning training. I want to remove it. and also may be another organ which miss classified. In the the following two images red line is the correct liver and around the liver having a boundaries which were miss classified and wrongly segmented. In green line the other organs also wrongly segmented. If anyone know this how to remove or refer any post processing method so please help.
image2
4 comentarios
Image Analyst
el 16 de Abr. de 2022
@ashutosh singh, like I told @Manjunath R V, I don't have it. You'll have to write it yourself after finding a paper in the link I gave above that shows you how to do it.
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Image Analyst
el 9 de Ag. de 2017
Turn the red and green coordinates into a mask, then mask them out. Full demo attached. Basically
% Make mask from red outline:
mask = poly2mask(redX, redY, rows, columns);
% Enlarge mask
mask = imdilate(mask, true(41)); % 41 is the size - enlarge or reduce to make the mask the size you want.
% Mask the image
grayImage(mask) = 0; % Zero out inside the mask.
2 comentarios
Image Analyst
el 9 de Ag. de 2017
Of course. You can create the mask in anyway you want, for example by thresholding.
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