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Adaptive simulated annealing for CT image classification
A. Albrecht
, M.J. Loomes
, K. Steinhofel
, C.K. Wong
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Citations (Scopus)
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Dive into the research topics of 'Adaptive simulated annealing for CT image classification'. Together they form a unique fingerprint.
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Keyphrases
Adaptive Simulated Annealing
100%
Simulated Annealing
100%
CT Image Classification
100%
Liver Tumor
100%
Threshold Circuits
100%
Perceptron Algorithm
100%
N-dimensional
50%
Classification Methods
50%
Cooling Schedule
50%
Time Change
50%
DICOM Format
50%
Learning Settings
50%
Pattern Classification
50%
Normal Liver
50%
Disjoint
50%
Linear Threshold Model
50%
Liver Tissue
50%
Neighborhood Relation
50%
Computer Science
Image Classification
100%
Simulated Annealing
100%
Perceptron Algorithm
66%
Classification Method
33%
Cooling Schedule
33%
Neighborhood Relation
33%
Pattern Classification
33%
Mathematics
Perceptron
100%
Classification Method
50%
Neighborhood Relation
50%
Threshold Function
50%
Test Set
50%
Engineering
Image Classification
100%
Perceptron
100%
Classification Method
50%
Neighborhood Relation
50%
Earth and Planetary Sciences
Image Classification
100%
Simulated Annealing
100%
Self Organizing Systems
66%