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A semisupervised segmentation model for collections of images
Yan Nei Law
*
, Hwee Kuan Lee
,
Michael K. Ng
, Andy M. Yip
*
Corresponding author for this work
Department of Mathematics
Research output
:
Contribution to journal
›
Journal article
›
peer-review
17
Citations (Scopus)
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Keyphrases
Large Collection
100%
Segmentation Model
100%
Semi-supervised Segmentation
100%
Computationally Efficient
50%
Optimization Model
50%
Solution Existence
50%
Similar Features
50%
Solution Uniqueness
50%
Strong Prior
50%
Mathematical Properties
50%
Biological Image
50%
Partially Labeled
50%
Efficient Segmentation
50%
Maximum-minimum Principle
50%
Engineering
Input Image
100%
Model Parameter
100%
Specifies
100%
Initial Stage
100%
Mathematical Property
100%
Computer Science
Segmentation Model
100%
Mathematical Property
100%