Comparing lesion segmentation methods in multiple sclerosis: Input from one manually delineated subject is sufficient for accurate lesion segmentation
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Keywords
MRI
Multiple sclerosis
Automatic lesion segmentation
Convolutional neural networks
Abbreviations
BIANCA
brain intensity abnormality classification algorithm
CNN
convolutional neural network
EDSS
expanded disease disability status scale
ICC
intra-class correlation coefficient
IQR
interquartile range
LST-LPA
lesion segmentation toolbox with lesion probability algorithm
LesionTOADS
lesion-topology preserving anatomical segmentation
MICCAI
medical image computing and computer assisted intervention
MS
multiple sclerosis
SI
Dice's similarity index
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© 2019 The Author(s). Published by Elsevier Inc.