Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment

Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment

The quality of magnetic resonance images may influence the diagnosis and subsequent treatment. Therefore, in this paper, a novel no-reference (NR) magnetic resonance image quality assessment (MRIQA) method is proposed. In the approach, deep convolutional neural network architectures are fused and jo...

Full description

Bibliographic Details
Main Authors: Igor Stępień, Rafał Obuchowicz, Adam Piórkowski, Mariusz Oszust
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
image quality assessment
deep learning
network fusion
magnetic resonance images
Online Access:https://www.mdpi.com/1424-8220/21/4/1043

Internet

https://www.mdpi.com/1424-8220/21/4/1043

Similar Items