Skip to main navigation
Skip to search
Skip to main content
Johns Hopkins University Home
Home
Profiles
Research units
Research output
Search by expertise, name or affiliation
Dielectric Breast Phantoms by Generative Adversarial Network
Wenyi Shao, Beibei Zhou
School of Medicine
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Dielectric Breast Phantoms by Generative Adversarial Network'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Breast
25%
Breast Image
25%
Breast Phantom
100%
Dielectric
100%
Dielectric Parameters
25%
Generative Adversarial Networks
100%
Generative Networks
50%
Machine Learning Based
75%
Microwave Breast Imaging
100%
Neural Network Method
25%
Phantom
75%
Robust Machine Learning
25%
Statistical Analysis
25%
Training Data
25%
Computer Science
Generative Adversarial Networks
100%
Machine Learning
100%
Machine Learning Algorithm
33%
Neural Network
33%
Research Purpose
33%
Training Data
33%
Physics
Dielectrics
100%
Machine Learning
100%
Neural Network
25%
Earth and Planetary Sciences
Dielectrics
100%
Machine Learning
100%
Material Science
Dielectric Material
100%