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

Start Page
283
Citation
Workshop on Bildverarbeitung fur die Medizin, 2018: 283
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
Publisher
Springer Vieweg
ISBN
978-3-658-25326-4
978-3-658-25325-7
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.
DDC Class
600: Technology