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L-Seg: An end-to-end unified framework for multi-lesion segmentation of fundus images.
Song Guo
Tao Li
Hong Kang
Ning Li
Yujun Zhang
Kai Wang
Published in:
Neurocomputing (2019)
Keyphrases
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end to end
unified framework
fundus images
lesion segmentation
optic disc
congestion control
blood vessels
probabilistic model
image segmentation
multiple sclerosis
optical coherence tomography
multi channel
magnetic resonance images
energy function
multiscale
computer aided
image registration