Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements
Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Rühling, Sebastian ; Navarro, Fernando ; Sekuboyina, Anjany ; El Husseini, Malek ; Baum, Thomas ; Menze, Bjoern ; Braren, Rickmer ; Zimmer, Claus ; Kirschke, Jan S.
Stichworte:
Musculoskeletal ; Bone density ; Osteoporosis ; Multidetector computed tomography ; Machine learning ; Screening
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