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Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project.
Mohammad Eshghi
Holger R. Roth
Masahiro Oda
Min Suk Chung
Kensaku Mori
Published in:
CoRR (2017)
Keyphrases
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automated segmentation
deep learning
test images
ground truth
clinical applications
object recognition
segmentation method
three dimensional
image data
maximum likelihood
segmentation accuracy
manual segmentation
lighting conditions
machine learning
input image
image registration
image segmentation