Add to ORKGInternational audienceA fully automatic workflow for Multiple Sclerosis (MS) lesion segmentation is described. Fully automatic means that no user interaction is performed in any of the steps and that all parameters are fixed for all the images processed in beforehand. Our workflow is composed of three steps: an intensity inhomogeneity (IIH) correction, skull-stripping and MS lesions segmentation. A validation comparing our results with two experts is done on MS MRI datasets of 24 MS patients from two different sites
Jain S., Sima D.M., Ribbens A., Cambron M., Maertens A., Van Hecke W., De Mey J., Barkhof F., Steenw...
International audienceIn the context of the FLI MICCAI 2016 MSSEG challenge for lesion segmentation,...
International audienceWe present a new automatic method for segmentation of multiple sclerosis (MS) ...
International audienceA fully automatic workflow for Multiple Sclerosis (MS) lesion segmentation is ...
A fully automatic workflow for Multiple Sclerosis (MS) lesion segmentation is described. Fully auto-...
International audienceThe design of a robust automatic segmentation workflow is crucial to deal with...
International audienceA new algorithm for segmentation of white matter lesions and normal appearing ...
We present a study of multiple sclerosis segmentation algorithms conducted at the international MICC...
We present a study of multiple sclerosis segmentation algorithms conducted at the international MICC...
BACKGROUND AND PURPOSE: The automatic segmentation of MS lesions could reduce time required for imag...
Jain S., Sima D.M., Ribbens A., Cambron M., Maertens A., Van Hecke W., De Mey J., Barkhof F., Steenw...
International audienceIn the context of the FLI MICCAI 2016 MSSEG challenge for lesion segmentation,...
International audienceWe present a new automatic method for segmentation of multiple sclerosis (MS) ...
International audienceA fully automatic workflow for Multiple Sclerosis (MS) lesion segmentation is ...
A fully automatic workflow for Multiple Sclerosis (MS) lesion segmentation is described. Fully auto-...
International audienceThe design of a robust automatic segmentation workflow is crucial to deal with...
International audienceA new algorithm for segmentation of white matter lesions and normal appearing ...
We present a study of multiple sclerosis segmentation algorithms conducted at the international MICC...
We present a study of multiple sclerosis segmentation algorithms conducted at the international MICC...
BACKGROUND AND PURPOSE: The automatic segmentation of MS lesions could reduce time required for imag...
Jain S., Sima D.M., Ribbens A., Cambron M., Maertens A., Van Hecke W., De Mey J., Barkhof F., Steenw...
International audienceIn the context of the FLI MICCAI 2016 MSSEG challenge for lesion segmentation,...
International audienceWe present a new automatic method for segmentation of multiple sclerosis (MS) ...