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

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

Abstract 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...

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Bibliographic Details
Main Authors: Markus J. Ankenbrand, Liliia Shainberg, Michael Hock, David Lohr, Laura M. Schreiber
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Medical Imaging
Subjects:
Deep learning
Neural networks
Cardiac magnetic resonance
Sensitivity analysis
Transformations
Augmentation
Online Access:https://doi.org/10.1186/s12880-021-00551-1

Internet

https://doi.org/10.1186/s12880-021-00551-1

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