Automatic multi‐organ segmentation in dual‐energy CT (DECT) with dedicated 3D fully convolutional DECT networks

Purpose Dual‐energy computed tomography (DECT) has shown great potential in many clinical applications. By incorporating the information from two different energy spectra, DECT provides higher contrast and reveals more material differences of tissues compared to conventional single‐energy CT (SECT)....

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Veröffentlicht in:	Medical physics (Lancaster) 2020-02, Vol.47 (2), p.552-562
Hauptverfasser:	Chen, Shuqing, Zhong, Xia, Hu, Shiyang, Dorn, Sabrina, Kachelrieß, Marc, Lell, Michael, Maier, Andreas
Format:	Artikel
Sprache:	eng
Schlagworte:	DECT deep learning FCN multi‐organ U‐Net
Online-Zugang:	Volltext
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