User-Intended Doppler Measurement Type Prediction Combining CNNs with Smart Post-Processing

Spectral Doppler measurements are an important part of the standard echocardiographic examination. These measurements give insight into myocardial motion and blood flow, providing clinicians with parameters for diagnostic decision making. Many of these measurements are performed automatically with h...

Full description

Bibliographic Details
Main Authors:	Aase, S.A (Author), Babic, A. (Author), Eikvil, L. (Author), Gilbert, A. (Author), Holden, M. (Author), McLeod, K. (Author), Rakhmail, M. (Author), Samset, E. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	accuracy algorithm Algorithms architecture Article artificial intelligence artificial neural network automation Automation B scan classification clinical practice confidence interval controlled study convolutional neural network Convolutional neural network (CNN) Convolutional neural networks decision making Decision making decision tree deep learning Diagnostic decision makings diagnostic test accuracy study Doppler doppler effect Doppler effect Doppler flowmetry Doppler measurement echocardiography echography entropy heart infarction heart muscle blood flow human Humans image quality image reconstruction learning learning algorithm machine learning memory Meta-parameters Misclassifications multimodal imaging Multi-modal information Myocardial motion Network layers Neural Networks, Computer Photomapping pipeline Pipelines Post processing prediction pulsed Doppler echocardiography spectroscopy speech discrimination support vector machine three-dimensional imaging thyroid nodule training Type predictions Ultrasonography ultrasound ultrasound (US) validation process
Online Access:	View Fulltext in Publisher

Internet

View Fulltext in Publisher

User-Intended Doppler Measurement Type Prediction Combining CNNs with Smart Post-Processing

Internet

Similar Items