Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks

BACKGROUND: Skeletal muscle segmentation is an important procedure for assessing sarcopenia, an emerging imaging biomarker of patient frailty. Data annotation remains the bottleneck for training deep learning auto‐segmentation models. PURPOSE: There is a need to define methodologies for applying mod...

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Detalles Bibliográficos
Autores principales: McSweeney, Dónal M., Henderson, Edward G., van Herk, Marcel, Weaver, Jamie, Bromiley, Paul A., Green, Andrew, McWilliam, Alan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313817/
https://www.ncbi.nlm.nih.gov/pubmed/35170063
http://dx.doi.org/10.1002/mp.15533

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313817/
https://www.ncbi.nlm.nih.gov/pubmed/35170063
http://dx.doi.org/10.1002/mp.15533

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