z-logo
Premium
OC17.01: Development and application of deep learning for identification, quantification and disease diagnosis in second trimester fetal hearts
Author(s) -
MoonGrady A.J.,
Curran L.,
Zhao Y.,
Chinn E.,
Arnaout R.
Publication year - 2019
Publication title -
ultrasound in obstetrics and gynecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.202
H-Index - 141
eISSN - 1469-0705
pISSN - 0960-7692
DOI - 10.1002/uog.20534
Subject(s) - medicine , tetralogy of fallot , artificial intelligence , deep learning , convolutional neural network , ultrasound , fetal echocardiography , heart disease , binary classification , radiology , prenatal diagnosis , pattern recognition (psychology) , cardiology , nuclear medicine , fetus , support vector machine , pregnancy , computer science , genetics , biology

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom