An Improved 3D Deep Learning-Based Segmentation of Left Ventricular Myocardial Diseases from Delayed-Enhancement MRI with Inclusion and Classification Prior Information U-Net (ICPIU-Net)

An Improved 3D Deep Learning-Based Segmentation of Left Ventricular Myocardial Diseases from Delayed-Enhancement MRI with Inclusion and Classification Prior Information U-Net (ICPIU-Net)

Accurate segmentation of the myocardial scar may supply relevant advancements in predicting and controlling deadly ventricular arrhythmias in subjects with cardiovascular disease. In this paper, we propose the architecture of inclusion and classification of prior information U-Net (ICPIU-Net) to eff...

Full description

Bibliographic Details
Main Authors: Khawla Brahim, Tewodros Weldebirhan Arega, Arnaud Boucher, Stephanie Bricq, Anis Sakly, Fabrice Meriaudeau
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
segmentation
ICPIU-Net
myocardium
myocardial infarction (MI)
late gadolinium enhancement magnetic resonance (LGE-MR)
microvascular-obstructed (MVO)
Online Access:https://www.mdpi.com/1424-8220/22/6/2084

Internet

https://www.mdpi.com/1424-8220/22/6/2084

Similar Items