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

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 matlab.io.datastore.CombinedDatastore/read (line 146)

data = horzcat(data{:});

Answer 1

[Matt J]

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,

https://www.mathworks.com/matlabcentral/answers/2080516-how-do-i-control-the-output-class-of-combine-with-multiple-image-and-trasnformedimage-datastores?s_tid=srchtitle

[Jawon]

Thanks!

I wrote new read function to wrap it in a cell. and it worked.