Cargando…
Automated localization of the medial clavicular epiphyseal cartilages using an object detection network: a step towards deep learning-based forensic age assessment
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...
Autores principales: | 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 |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085900/ https://www.ncbi.nlm.nih.gov/pubmed/36729183 http://dx.doi.org/10.1007/s00414-023-02958-7 |
Ejemplares similares
-
Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training
por: Rueckel, Johannes, et al.
Publicado: (2021) -
A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC
por: Stüber, Anna Theresa, et al.
Publicado: (2023) -
CT of the medial clavicular epiphysis for forensic age estimation: hands up?
por: Tozakidou, Magdalini, et al.
Publicado: (2021) -
End-to-End Deep Learning Approach for Perfusion Data: A Proof-of-Concept Study to Classify Core Volume in Stroke CT
por: Mittermeier, Andreas, et al.
Publicado: (2022) -
Standards of practice in forensic age estimation with CT of the medial clavicular epiphysis—a systematic review
por: Ruder, Thomas D., et al.
Publicado: (2023)