Skip to content

3D CT images #9

@sovanlal

Description

@sovanlal

Hi,

Thank you for your outstanding work and sharing the code. I have some certain clarifications and I will appreciate your response,

I am working on 3D CT images where each CT has a dimension of 512 x 512 x N , N is number of axial slices. As part of image pre-processing as was written in your paper

a. For 3D images. for each slice, I need to resize the image dimension to 256 x 256 x 3, correct?
b. Does that mean even for 3D images and for inference, segmentation (and dice) was performed slice-by-slice and then averaged to get the volumetric dice?
c. I show one of the example data that you provided. For AbomenCT-1K and CT_Liver, file names are following,
"casenum_00371_sliceid_50.npy", "casenum_00944_sliceid_422.npy". I am assuming you just uploaded only one slice for a particular patient.

Thank you for your response.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions