FNSAM: Image super-resolution using a feedback network with self-attention mechanism

FNSAM: Image super-resolution using a feedback network with self-attention mechanism

BACKGROUND: High-resolution (HR) magnetic resonance imaging (MRI) provides rich pathological information which is of great significance in diagnosis and treatment of brain lesions. However, obtaining HR brain MRI images comes at the cost of extending scan time and using sophisticated expensive instr...

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Bibliographic Details
Main Authors: Huang, Y. (Author), Li, M. (Author), Wang, W. (Author)
Format: Article
Language:English
Published: NLM (Medline) 2023
Subjects:
artificial neural network
brain
Brain
convolutional neural network
diagnostic imaging
Feedback
feedback network
feedback system
human
Humans
image processing
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
MRI image
Neural Networks, Computer
nuclear magnetic resonance imaging
procedures
self-attention mechanism
signal noise ratio
Signal-To-Noise Ratio
super-resolution
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