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

Morlock, Michael

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.