Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI

BACKGROUND: Image segmentation is a common task in medical imaging e.g., for volumetry analysis in cardiac MRI. Artificial neural networks are used to automate this task with performance similar to manual operators. However, this performance is only achieved in the narrow tasks networks are trained...

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Detalles Bibliográficos
Autores principales: Ankenbrand, Markus J., Shainberg, Liliia, Hock, Michael, Lohr, David, Schreiber, Laura M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885570/
https://www.ncbi.nlm.nih.gov/pubmed/33588786
http://dx.doi.org/10.1186/s12880-021-00551-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885570/
https://www.ncbi.nlm.nih.gov/pubmed/33588786
http://dx.doi.org/10.1186/s12880-021-00551-1

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