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Titel:

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

Dokumenttyp:
Journal Article
Autor(en):
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...     »
Zeitschriftentitel:
Int J Legal Med
Jahr:
2023
Band / Volume:
137
Heft / Issue:
3
Seitenangaben Beitrag:
733-742
Volltext / DOI:
doi:10.1007/s00414-023-02958-7
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/36729183
Print-ISSN:
0937-9827
TUM Einrichtung:
595; Professur für Interventionelle Radiologie (Prof. Paprottka)
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