Estimation of Cardiac Short Axis Slice Levels with a Cascaded Deep Convolutional and Recurrent Neural Network Model

Estimation of Cardiac Short Axis Slice Levels with a Cascaded Deep Convolutional and Recurrent Neural Network Model

Automatic identification of short axis slice levels in cardiac magnetic resonance imaging (MRI) is important in efficient and precise diagnosis of cardiac disease based on the geometry of the left ventricle. We developed a combined model of convolutional neural network (CNN) and recurrent neural net...

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Bibliographic Details
Main Authors: Namgyu Ho, Yoon-Chul Kim
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Tomography
Subjects:
deep learning
cardiac imaging
convolutional neural network
recurrent neural network
Online Access:https://www.mdpi.com/2379-139X/8/6/229

Internet

https://www.mdpi.com/2379-139X/8/6/229

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