Image to number prediction using CNN regression.

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Hello
I have 564 Nifti images, each being 128*128*16*4, as input training data 'imds'. The outputs are 564 continous variables from 0 to 1, which I set as 'imds.Labels'.
I used imagedatastore to combine 'imds' with 'imds.Labels' and then run the regression CNN. But when I run the training, a error suggested that: "the labels of the imagedatastore must be a categorical vector".
Does anyone know how to fix this problem.
Many thanks
Gabriel
  3 个评论
GABRIELZHU ZHU
GABRIELZHU ZHU 2020-10-18
Thank you for your response. Actually, I have figured it out, using imds2array().
hawi teshome
hawi teshome 2022-1-14
Hello there, I am facing similar problem. Can you share how you fixed it?

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回答(1 个)

yanqi liu
yanqi liu 2022-1-17
yes,sir,may be use
regressionLayer
as the net output,and use 4-D XTrain, 1-D YTrain to train net

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