Magnetic resonance imaging reconstruction algorithm under complex convolutional neural network in diagnosis and prognosis of cerebral infarction.
This study was to explore the application value of magnetic resonance imaging (MRI) image reconstruction model based on complex convolutional neural network (CCNN) in the diagnosis and prognosis of cerebral infarction. Two image reconstruction methods, frequency domain reconstruction network (FDRN)...
Saved in:
| Main Authors: | Jie Dong, Shujun Zhao, Yun Meng, Yong Zhang, Suxiao Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0251529&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Application of Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging in the Diagnosis and Therapy of Acute Cerebral Infarction
by: Ying Han, et al.
Published: (2006-01-01) -
Magnetic Resonance Spectroscopy in the Diagnosis and Prognosis of Breast Cancer
by: M. V. Egorov, et al.
Published: (2019-11-01) -
Magnetic Resonance Imaging for Breast Cancer Classification Using Convolutional Neural Networks
by: Adiyah Mahiruna, et al.
Published: (2025-03-01) -
Brain tumour detection from magnetic resonance imaging using convolutional neural networks
by: Irene Rethemiotaki
Published: (2024-02-01) -
Magnetic Resonance Imaging in Marchiafava-Bignami Syndrome: A Cornerstone in Diagnosis and Prognosis
by: Kathyayini Paidipati Gopalkishna Murthy
Published: (2014-01-01)