STAPLE(D)
version 1.0.1.0 (3.88 KB) by
adhusch
Implementation of the STAPLE algorithm for binary segmentations
A vectorized implementation of the STAPLE algorithm (Warfield et al., 2004) for binary segmentations/labels.
Cite As
adhusch (2021). STAPLE(D) (https://www.mathworks.com/matlabcentral/fileexchange/56789-staple-d), MATLAB Central File Exchange. Retrieved .
Comments and Ratings (3)
MATLAB Release Compatibility
Created with
R2013b
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
Select web siteYou can also select a web site from the following list:
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
@RUI XIA: As STAPLE is based on an i.i.d. assumption, you could simple "reshape" your 3D data as it is done in for the 2D example too: D = [s1(:), s2(:), s3(:), s4(:), s5(:)]; is putting segmentations from five different raters (s1 to s5) into one "voxel x rater" matrix D, which is the input for STAPLE. This will work equivalently for s1 to s5 being 3D.
Sir, how to use it for 3D labels
DF DFFEWR