Skip to main navigation
Skip to search
Skip to main content
Sort by
Keyphrases
Cervigram
100%
Collaborative Research
100%
Image Dataset
100%
Medical Image Dataset
100%
Semantic Gap
66%
Image Domain
33%
Human-machine Systems
33%
Clinical Setting
33%
Disease Process
33%
Image Object
33%
Information Hierarchy
33%
Pap Smear
33%
Knowledge Representation
33%
Explicit Representation
33%
Positive Impact
33%
Broad Domains
33%
U.S. National Library of Medicine
33%
Effective Procedure
33%
Computer-assisted
33%
Educational Settings
33%
Medical Informatics
33%
Image Semantics
33%
Processing Machines
33%
Learning Recognition
33%
Institutional Collaboration
33%
Medical Image Analysis
33%
National Cancer Institute
33%
Colposcopy
33%
Machine Learning
33%
Digital Image
33%
Object Type
33%
Image Database
33%
Knowledge Reasoning
33%
Pattern Recognition
33%
Information Extraction
33%
Tissue Type
33%
Object Recognition
33%
Low-level Visual Features
33%
Cervical Cancer Screening
33%
Semantic Interpretation
33%
Medical Image Processing
33%
Content Understanding
33%
Content-based Image Retrieval
33%
Multimedia Content
33%
Content Structure
33%
Computer Science
semantic gap
100%
Image Database
100%
Collaboration
100%
Explicit Representation
50%
Image Analysis
50%
Pattern Recognition
50%
Domain Knowledge
50%
Image Content
50%
Information Extraction
50%
Machine Learning
50%
Information Retrieval
50%
Learning System
50%
image feature
50%
Medical Image Processing
50%
Effective Procedure
50%
Feature Recognition
50%
Semantic Image
50%
Multimedia Content
50%
Interactivity
50%
Computer Science
50%
Man Machine Systems
50%
Social Sciences
Cancer
100%
Collaboration
100%
Knowledge Domain
50%
Computer Science
50%
Machine Learning
50%
Learning System
50%
Educational Setting
50%
Interactivity
50%
National Libraries
50%
Diseases
50%
Knowledge Representation
50%
Medical image analysis
50%
Medical Science
50%
Pattern Recognition
50%
Semantic Interpretation
50%