How to handle imagedatastore when input and response have different dimension?

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I've been trying to train a network for 3D segmentation.
The input data is 3-dimensional array(or image), its response is 4-dimensional array, loaded using imageDatastore. I want to start training of network, but I faced error messages, which is below. This error raised because dimension of the input and its reponse doesn't matched(input:3d vs response:4d).
Is there any way to give combinedDatastore which consists of different dimensions of input and response to trainNetwork function?
Error using trainNetwork
Error during read from datastore.
Error in resunet_test (line 72)
[net_, info] = trainNetwork(combine(trntf_input, trntf_label), net, opt);
Caused by:
Error using horzcat
Dimensions of arrays being concatenated are not consistent.
Error in (line 146)
data = horzcat(data{:});

Accepted Answer

Matt J
Matt J on 21 Feb 2024
Edited: Matt J on 21 Feb 2024
Modify the trntf_input, trntf_label datastores' ReadFcn so that when it reads in the image, it wraps it in a 1x1 cell array. See also,

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