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Deep learning (DL)‐based automatic segmentation models can expedite manual segmentation yet require resource‐intensive fine‐tuning before deployment on new datasets. The generalizability of DL methods to new datasets without fine‐tuning is… Click to show full abstract
Deep learning (DL)‐based automatic segmentation models can expedite manual segmentation yet require resource‐intensive fine‐tuning before deployment on new datasets. The generalizability of DL methods to new datasets without fine‐tuning is not well characterized.
Keywords:
segmentation algorithms;
algorithms automated;
generalizability deep;
learning segmentation;
segmentation;
deep learning
Journal Title: Journal of Magnetic Resonance Imaging
Year Published: 2022
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Journal Title: Journal of Magnetic Resonance Imaging
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!