Automated segmentation of magnetic resonance bone marrow signal: a feasibility study

BACKGROUND: Manual assessment of bone marrow signal is time-consuming and requires meticulous standardisation to secure adequate precision of findings. OBJECTIVE: We examined the feasibility of using deep learning for automated segmentation of bone marrow signal in children and adolescents. MATERIAL...

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Detalles Bibliográficos
Autores principales: von Brandis, Elisabeth, Jenssen, Håvard B., Avenarius, Derk F. M., Bjørnerud, Atle, Flatø, Berit, Tomterstad, Anders H., Lilleby, Vibke, Rosendahl, Karen, Sakinis, Tomas, Zadig, Pia K. K., Müller, Lil-Sofie Ording
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107442/
https://www.ncbi.nlm.nih.gov/pubmed/35107593
http://dx.doi.org/10.1007/s00247-021-05270-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107442/
https://www.ncbi.nlm.nih.gov/pubmed/35107593
http://dx.doi.org/10.1007/s00247-021-05270-x

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