A densely interconnected network for deep learning accelerated MRI

Objective To improve accelerated MRI reconstruction through a densely connected cascading deep learning reconstruction framework. Materials and methods A cascading deep learning reconstruction framework (reference model) was modified by applying three architectural modifications: input-level dense c...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Magma (New York, N.Y.) Ročník 36; číslo 1; s. 65 - 77
Hlavní autori:	Ottesen, Jon André, Caan, Matthan W. A., Groote, Inge Rasmus, Bjørnerud, Atle
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.02.2023
Predmet:	Acceleration Basic Science - Reconstruction algorithms and artificial intelligence Biomedical Engineering and Bioengineering Computer Appl. in Life Sciences Deep Learning Health Informatics Imaging Magnetic Resonance Imaging Medicine Medicine & Public Health Radiology Research Article Signal-To-Noise Ratio Solid State Physics Deep learning MRI Image reconstruction
ISSN:	1352-8661, 0968-5243, 1352-8661
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!