Comments (3)
Hi @EdwardMa12593 Yes, sample_per_volume
parameter is actually ignored; that is, given one volume input, the sampler would always generate one window (by resizing the input).
The sampling strategy and window size are free system parameters, a uniform sampling of 64x64x64
windows could be another option... if it turns out to be a better choice for segmentation please do consider submitting the model to the model zoo :)
For the final problem, it seems the mismatch is caused by the anisotropic resizing, could you please elaborate the steps to replicate the results? many thanks!
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Dear @wyli
Thanks for your reply.
Is there a guideline about how to submit the model to the model zoo?
I'm not allowed to register CMICLab.
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For the mismatch which is caused by the anisotropic resizing, I followed the python code in the Notebook to generate the results.
The inference parameters are
[INFERENCE]
border = (5, 5, 5)
#inference_iter = 10
save_seg_dir = output/
output_interp_order = 0
spatial_window_size = (0, 0, 3)
The documentation on readthedocs.io helps a lot to me.
However, I am still confused about why settint the spatial_window_size = (0, 0, 3)
?
Is this the reasion for the mismatch?
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