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Applications of Ultrasound Image Formation in the Deep Learning Age
Muyinatu A. Lediju Bell
Whiting School of Engineering
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Keyphrases
Deep Learning
100%
Ultrasound Image Formation
100%
Improve Image Quality
66%
Feature Detection
66%
Sensor Data
66%
Ultrasound Sensor
66%
Ultrasound
33%
Optics
33%
Processing Stages
33%
Signal Processing
33%
Delivery Rate
33%
Multiple Output
33%
Single Signal
33%
Image Formation
33%
Single Image
33%
Photoacoustic
33%
Beamforming
33%
Artifact Removal
33%
Multiple Benefits
33%
Source Detection
33%
Reflection Artifacts
33%
COVID-19
33%
Sound Wave Propagation
33%
Speed Detection
33%
Coherence-based Beamforming
33%
New Resource
33%
Cysts Detection
33%
Ultrasound Beamforming
33%
Computer Science
Ultrasound Image
100%
Image Formation
100%
Deep Learning Method
100%
Image Quality
66%
Features Detection
66%
Processing Step
33%
Signal Processing
33%
COVID-19
33%