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

Mauer, Matthias auf derMatthias auf derMauerPröve, Paul LouisPaul LouisPröveJopp-van Well, EilinEilinJopp-van WellHerrmann, JochenJochenHerrmannGroth, MichaelMichaelGrothSäring, DennisDennisSäringMorlock, MichaelMichaelMorlockStanczus, BenBenStanczus2021-11-222021-11-222018-03Workshop on Bildverarbeitung fur die Medizin, 2018: 283978-3-658-25326-4978-3-658-25325-7http://hdl.handle.net/11420/11029The 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.enTechnology::600: TechnologyAbstract: Automated segmentation of bones for the age assessment in 3D MR images using convolutional neural networksConference Paper10.1007/978-3-662-56537-7_75Conference Paper