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Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction.
Soonam Lee
Chichen Fu
Paul Salama
Kenneth W. Dunn
Edward J. Delp
Published in:
CoRR (2018)
Keyphrases
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fluorescence microscopy images
convolutional neural networks
inhomogeneity correction
visual inspection
cell nuclei
multiscale
mr images
image volumes
image segmentation
level set
intensity inhomogeneity
computer vision
image analysis
segmented images