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Network models for monitoring high-dimensional image profiles
Chen Kan
,
Hui Yang
Harold and Inge Marcus Department of Industrial and Manufacturing Engineering
Penn State Cancer Institute
Cancer Institute, Cancer Control
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
8
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Scopus citations
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Dive into the research topics of 'Network models for monitoring high-dimensional image profiles'. Together they form a unique fingerprint.
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Keyphrases
Network Model
100%
Image Profile
100%
High-dimensional Image
100%
Process Control
66%
Statistical Process Control
66%
Process Monitoring
66%
Dynamic Networks
66%
Advanced Imaging Technology
66%
Full Potential
33%
Control Method
33%
Healthcare
33%
Complex Structure
33%
Strong Potential
33%
Network Monitoring
33%
Product Characteristics
33%
Control Chart
33%
System Complexity
33%
Complex Image
33%
Information Visibility
33%
Online Control
33%
Biomanufacturing
33%
Image Structure
33%
Innovation Practices
33%
Monitoring Scheme
33%
Address System
33%
Image Dataset
33%
Major Challenges
33%
Processing Characteristics
33%
Modern Industry
33%
Computer Science
Model for Network
100%
Process Control
100%
Dimensional Image
100%
Dynamic Network
50%
Process Monitoring
50%
Statistical Process
50%
Experimental Result
25%
Network Monitoring
25%
Research Problem
25%
Complex Structure
25%
System Complexity
25%
Modern Industry
25%
Complex System
25%
Chemical Engineering
Process Control
100%
Process Monitoring
50%