Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement

Recently, many effective medical image restoration methods based on deep learning have been proposed. Most of the methods are used to solve single image processing tasks, such as image noise removal, image deblurring, and image super‐resolution. However, real medical images often suffer from multipl...

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Veröffentlicht in:	International journal of imaging systems and technology 2022-01, Vol.32 (1), p.144-154
Hauptverfasser:	Fu, Bo, Dong, Yuhan, Fu, Shilin, Mao, Yuanxin, Thanh, Dang N. H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Coders Deep learning domain transfer Domains Image acquisition image deblurring Image degradation image denoising Image enhancement Image processing Image restoration Magnetic resonance imaging Medical imaging MRI images Representations Signal processing unsupervised learning
Online-Zugang:	Volltext
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