DC<sup>2</sup>Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised Learning

DC<sup>2</sup>Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised Learning

Magnetic resonance imaging (MRI) plays a significant role in the diagnosis of lumbar disc disease. However, the use of MRI is limited because of its high cost and significant operating and processing time. More importantly, MRI is contraindicated for some patients with claustrophobia or cardiac pace...

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Bibliographic Details
Main Authors: Cheng-Bin Jin, Hakil Kim, Mingjie Liu, In Ho Han, Jae Il Lee, Jung Hwan Lee, Seongsu Joo, Eunsik Park, Young Saem Ahn, Xuenan Cui
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Applied Sciences
Subjects:
image cross-modality synthesis
lumbar spine
dual cycle-consistent adversarial network
semi-supervised learning
adversarial training
Online Access:https://www.mdpi.com/2076-3417/9/12/2521

Internet

https://www.mdpi.com/2076-3417/9/12/2521

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