Skip to content

PRE-PROCESSING QUESTION ABOUT Wholebrainseg large unest segmentation #534

@vlopezgz

Description

@vlopezgz

I have followed the pre-processing scheme as indicated in the paper Huo et.all; and when executing inference the output is not as expected, so: What is the order and steps I should apply to images in order to obtain the masks provided in the description???????

This is my actual pre-processing pipeline: Skull stripping > Bias field correction > Registration to MNI305 > Intensity rescaling [-1,1] > Random cropping 96x96x96. (Of course input images to this pre-processing pipeline have 240x240x155 (dimensions) and 1x1x1 (voxel size)

I have removed histogram matching (after proving it) since it does not make sense (I am just executing inference with T1 weighted images).

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions