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  4. Automated segmentation of bones for the age assessment in 3D MR images using convolutional neural networks
 
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Automated segmentation of bones for the age assessment in 3D MR images using convolutional neural networks

Publikationstyp
Conference Paper
Publikationsdatum
2018-03
Sprache
English
Author
Auf der Mauer, Markus 
Pröve, Paul Louis 
Jopp-van Well, Eilin 
Herrmann, Jochen 
Groth, Michael 
Morlock, Michael 
Stanczus, Ben 
Säring, Dennis 
Institut
Biomechanik M-3 
TORE-URI
http://hdl.handle.net/11420/11029
Enthalten in
Informatik aktuell 
Issue
211279
Start Page
283
Citation
Workshop on Bildverarbeitung fur die Medizin (2018)
Contribution to Conference
Workshop on Bildverarbeitung fur die Medizin, 2018 
Publisher DOI
10.1007/978-3-662-56537-7_75
Scopus ID
2-s2.0-85043325070
The age assessment is a complicated procedure used to determine the chronological age of an individual who lacks legal documentation. Actual studies show that the ossification degree of the growth plates in the knee joint represents a suitable indicator for the majority age. To verify this hypothesis a high number of datasets have to be analysed.
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