Skip to main navigation
Skip to search
Skip to main content
Augusta University Research Profiles Home
Help & FAQ
Home
Profiles
Research units
Equipment
Grants
Scholarly Output
Datasets
Activities
Prizes
Search by expertise, name or affiliation
Deep synthesis of realistic medical images: A novel tool in clinical research and training
Evgeniy Bart,
Jay Hegdé
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Deep synthesis of realistic medical images: A novel tool in clinical research and training'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering & Materials Science
Clinical research
100%
Deep learning
64%
Mammography
37%
Neural networks
26%
Statistics
21%
Radiology
18%
Pathology
16%
Education
12%
Learning algorithms
11%
Machine learning
10%
Decision making
10%
Set theory
9%
Testing
7%
Medicine & Life Sciences
Deep Learning
99%
Statistical Distributions
45%
Mammography
30%
Statistics
22%
Expert Systems
20%
Machine Learning
16%
Clinical Decision-Making
15%
Radiology
14%
Noise
13%
Decision Making
11%
Technology
9%
Pathology
9%
Education
9%