reena asked . 2021-05-28

change 'classWeights' in unetLayers

Hello,

im using Unet to perform semantic segmentation (I want to segment liver metastasis). I want to weight 'more' the pixels of the metastasis respect to the background but I can't manage to do it...

Code for creating unet architecture:

lgraph = unetLayers(imageSize, numClasses, 'EncoderDepth', 4);

How can I change the 'classWeights' in lgraph.Layers(end).pixelClassificationLayer in order to do this??

If, for example, I do this:

lgraph.Layers(end).pixelClassificationLayer.classWeights = [2, 0.5];

I receive an error telling me that i have first to put the 'labels' to the 'classes' options in lgraph.Layers(end), but if i do this:

lgraph.Layers(end) = {'metastasis', 'background'};

I receive an error telling that that layer is in 'read only' mode....

deep learning , matlab , simulink , matlab programming

Expert Answer

John Michell answered . 2024-12-21 01:18:40

Hi,

The unetLayers object in MATLAB is in read only mode and we cannot change the properties of layers as such. You may remove the last layer which is the Segmentation-Layer and can add a new Segmentation-Layer with the properties that are mentioned.

Following Code will help.

% Last Layer Name is 'Segmentation-Layer' 
% for checking layer name use :- lgraph.Layers 
lgraph = removeLayers(lgraph,'Segmentation-Layer'); 
layerlast = pixelClassificationLayer('Classes',{'metastatis','background'},'ClassWeights',[2,0.5],'Name','New_segmentation_Layer'); 
layer_to_add = [layerlast]; 
lgraph = addLayers(lgraph,layer_to_add);

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