Bildverarbeitung für die Medizin 2018 pp 283-283 | Cite as
Abstract: Automated Segmentation of Bones for the Age Assessment in 3D MR Images using Convolutional Neural Networks
Conference paper
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Zusammenfassung
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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Literatur
- 1.Dam EB, Lillholm M, Marques J, et al. Automatic segmentation of high- and lowfield knee MRIs using knee image quantification with data from the osteoarthritis initiative. J Med Imaging. 2015;2(2):024001.Google Scholar
- 2.Stern D, Ebner T, Bischof H, et al. Fully automatic bone age estimation from left hand MR images. Proc MICCAI. 2014;17:220–227.Google Scholar
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© Springer-Verlag GmbH Deutschland 2018