Deep-learning models improve on community-level diagnosis for common congenital heart disease lesions

no code implementations • 19 Sep 2018 • Rima Arnaout, Lara Curran, Erin Chinn, Yili Zhao, Anita Moon-Grady

Using 685 retrospectively collected echocardiograms from fetuses 18-24 weeks of gestational age from 2000-2018, we trained convolutional and fully-convolutional deep learning models in a supervised manner to (i) identify the five canonical screening views of the fetal heart and (ii) segment cardiac structures to calculate fetal cardiac biometrics.

Binary Classification Specificity