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

Age assessment is used to estimate the chronological age of an individual who lacks legal documentation. Recent studies indicate that the ossification degree of the growth plates in the knee joint correlates with chronological age of adolescents and young adults. To verify this hypothesis, a high nu...

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Bibliographic Details
Published in:	International journal of legal medicine Vol. 133; no. 4; pp. 1191 - 1205
Main Authors:	Pröve, Paul-Louis, Jopp-van Well, Eilin, Stanczus, Ben, Morlock, Michael M., Herrmann, Jochen, Groth, Michael, Säring, Dennis, Auf der Mauer, Markus
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2019 Springer Nature B.V
Subjects:	3-D technology Adolescent Adolescents Adults Age Age Determination by Skeleton - methods Artificial neural networks Automation Bones Cartilage, Articular - diagnostic imaging Cartilage, Articular - pathology Chronology Datasets Documentation Encoders-Decoders Estimation Forensic Medicine Humans Image Processing, Computer-Assisted - methods Image segmentation Knee Knee Joint - diagnostic imaging Knee Joint - pathology Legal medicine Medical Law Medicine Medicine & Public Health Networks Neural networks Original Article Segmentation Teenagers Training Ultrasonic imaging Young Adult Young adults Knee Age estimation Segmentation Convolutional neural networks MRI
ISSN:	0937-9827, 1437-1596, 1437-1596
Online Access:	Get full text
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