Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: https://github.com/emsweene/SuBLIME_package
Proper Citation: SuBLIME (RRID:SCR_014409)
Description: Software used for detection of lesions in patients with multiple sclerosis. It provides an automated method for segmenting incident lesion voxels and allows for sensitive and specific detection of lesion incidence that can be applied to large collections of images. Using the explicit form of the statistical model, SuBLIME can be adapted to cases when more or fewer imaging sequences are available.
Resource Type: standalone software, software application, software resource
Defining Citation: PMID:22766673
Keywords: lesion, multiple sclerosis, detection, automated, segment, incident lesion voxel
Expand AllWe found {{ ctrl2.mentions.all_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for SuBLIME.
No alerts have been found for SuBLIME.
Source: SciCrunch Registry