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Deep-Learning Estimation of Perfusion Kinetic Parameters in Contrast-Enhanced Ultrasound Imaging
Enrico Grisan
,
Sevan Harput
, Bernd Raffeiner
, Ugo Fiocco
, Roberto Stramare
Computer Science
Bioscience and Bioengineering Research Centre
Electrical and Electronic Engineering (302)
Rheumatology Unit, Bolzano Hospital, Bolzano
University of Padua
Research output
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Dive into the research topics of 'Deep-Learning Estimation of Perfusion Kinetic Parameters in Contrast-Enhanced Ultrasound Imaging'. Together they form a unique fingerprint.
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Keyphrases
Contrast-enhanced Ultrasound
100%
Deep Learning
100%
Perfusion Kinetics
100%
Kinetic Parameters
100%
Deep Convolutional Neural Network (deep CNN)
75%
Nonlinear Least Squares
75%
Ultrasound Data
50%
Parameter Estimation
50%
Residual Sum of Squares
50%
Experimental Contrast
50%
Low Signal-to-noise Ratio
25%
Perfusion Pattern
25%
Ultrasound
25%
Imaging Techniques
25%
Sensitive Imaging
25%
Arthritis
25%
Vascular Function
25%
Nonlinearity
25%
Perfusion Parameters
25%
In Cancer
25%
Blood Tissue
25%
Maximum Likelihood
25%
Nonlinear Parametric Model
25%
Goodness-of-fit
25%
Likelihood-free
25%
Blood Perfusion
25%
Free Energy
25%
Fitting Method
25%
Pharmacology, Toxicology and Pharmaceutical Science
Malignant Neoplasm
100%
Arthritis
100%