can you segment with the 3D unet an image with unequal dimensions, like 128x384x128 for example as an input to the model?

11 次查看（过去 30 天）
Mariam Ashraf
Mariam Ashraf 2024-4-28
回答： Karl 2024-4-29
I am using the unet 3d segmentation matlab built in function. tyoical inputs to that function is equal spaced dimentioons of 32, 64, 128, 256, and so on. can i input an image of size 128x384x128 to the unet function. if not then why?

请先登录，再回答此问题。

回答（1 个）

Karl
Karl 2024-4-29
Ran in:
The function unet3d() doesn't require that images have the same size in each dimension. From the documentation for the input argument inputSize, it does have the constraint: "Network input image size must be chosen such that the dimension of the inputs to the max-pooling layers must be even numbers."
% Define number of classes.
numClasses = 5;
% This works - image sizes in all dimensions are integer multiples of 2^3.
unet1 = unet3d([128 384 128], numClasses, EncoderDepth=3)
unet1 =
dlnetwork with properties: Layers: [62x1 nnet.cnn.layer.Layer] Connections: [67x2 table] Learnables: [64x3 table] State: [28x3 table] InputNames: {'encoderImageInputLayer'} OutputNames: {'FinalNetworkSoftmax-Layer'} Initialized: 1 View summary with summary.
% This gives an error - 386 isn't an integer multiple of 2^2.
unet2 = unet3d([128 386 128], numClasses, EncoderDepth=2)
Error using unet3d>iValidateInputSize (line 150)
The width, height, and depth of the image must be a multiple of 2^EncoderDepth. You can specify image size as [128 384 128 1] instead of [128 386 128 1].

Error in unet3d (line 43)
iValidateInputSize(inputSize, encoderDepth, convolutionPadding, convFilterSize);

类别

在 Help Center 和 File Exchange 中查找有关 Semantic Segmentation 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by