Skip to main navigation
Skip to search
Skip to main content
The Hebrew University of Jerusalem Home
Approve / Request updates on publications
Home
Profiles
Research units
Research output
Prizes
Search by expertise, name or affiliation
Robust-Seed: seed-based segmentation improvement by optimisation
Achia Kronman,
Leo Joskowicz
*
*
Corresponding author for this work
The Rachel and Selim Benin School of Engineering and Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
1
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Robust-Seed: seed-based segmentation improvement by optimisation'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Segmentation Refinement
100%
Seed-based
100%
Segmentation Method
75%
Structure Segmentation
75%
Point Location
50%
Liver
25%
Computed Tomography
25%
Anatomical Structure
25%
Semi-automatic
25%
Image Segmentation Method
25%
Kidney
25%
Paired T-test
25%
Substructure Method
25%
Seed Yield
25%
Adaptive Region Growing
25%
Segmentation Quality
25%
Region Segmentation
25%
Medical Image Segmentation
25%
Clinical Task
25%
Level-set
25%
Segmentation Accuracy
25%
Givens Method
25%
Volumetric Images
25%
Fast Marching
25%
Engineering
Target Structure
100%
Seed Point
85%
Segmentation Method
28%
Based Segmentation Method
28%
Level Set
14%
Segmentation Quality
14%
Medical Image Segmentation
14%
Immunology and Microbiology
X-Ray Computed Tomography
100%
Anatomical Concepts
100%
Computer Science
Target Structure
100%
Segmentation Method
57%
Image Segmentation
14%
segmentation accuracy
14%
Biochemistry, Genetics and Molecular Biology
X-Ray Computed Tomography
100%