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Last seen: 4 years ago |  Active since 2020

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low training & validation accuracy with adding new data set
I'm training a 2D semantic segmentation network using Unet architecture, on 2D png images (which are slices of 3D nifti images)....

4 years ago | 1 answer | 0

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why is my final validation accuracy much lower than the validation accuracy during training?
my FINAL validation is: 21%, while most of my validation accuracy measurements is ~70. what could be the reason for that?

4 years ago | 1 answer | 0

1

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how to change the pixel value for each of a list of pixels
Hi, I have a list of pixel's coordinates of 3D binary image (the list's dim: number of pixels to change x 3: the first column i...

4 years ago | 1 answer | 0

1

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how to prepare 3D nifti images for 2D semantic segmentation network training
Hi, I have a bunch of 3D nifti images (which every image composed of multipule 2D images, i.e: 512 x 512 x 150). I also have a ...

4 years ago | 1 answer | 0

1

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index is out of range for deletion - error while training semantic segmentation network
Hi, I'm having an issue while training a UNET network for semantic segmentation on 3D nifti images. I'm getting the following ...

4 years ago | 0 answers | 0

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import a Keras pre-trained network into Matlab
I'm having issues to import a pre-trained network I've trained in Python into Matlab. - I used the function of: importKerasLaye...

4 years ago | 2 answers | 0

2

answers

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object segmentation using CNN deep learning
Hi, I'm trying to segment a specific object from an image using convolutional neural network (CNN). I have a 2 part question:...

4 years ago | 1 answer | 0

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