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Title:

Automated localization of the medial clavicular epiphyseal cartilages using an object detection network: a step towards deep learning-based forensic age assessment.

Document type:
Journal Article
Author(s):
Wesp, Philipp; Sabel, Bastian Oliver; Mittermeier, Andreas; Stüber, Anna Theresa; Jeblick, Katharina; Schinke, Patrick; Mühlmann, Marc; Fischer, Florian; Penning, Randolph; Ricke, Jens; Ingrisch, Michael; Schachtner, Balthasar Maria
Abstract:
BACKGROUND: Deep learning is a promising technique to improve radiological age assessment. However, expensive manual annotation by experts poses a bottleneck for creating large datasets to appropriately train deep neural networks. We propose an object detection approach to automatically annotate the medial clavicular epiphyseal cartilages in computed tomography (CT) scans. METHODS: The sternoclavicular joints were selected as structure-of-interest (SOI) in chest CT scans and served as an easy-to...     »
Journal title abbreviation:
Int J Legal Med
Year:
2023
Journal volume:
137
Journal issue:
3
Pages contribution:
733-742
Fulltext / DOI:
doi:10.1007/s00414-023-02958-7
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/36729183
Print-ISSN:
0937-9827
TUM Institution:
595; Professur für Interventionelle Radiologie (Prof. Paprottka)
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