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/dorianps/LINDA
Proper Citation: LINDA (RRID:SCR_017971)
Description: Software R package for automated segmentation of chronic stroke lesions. Automated segmentation algorithm capable of learning relationship between existing manual segmentations and single T1-weighted MRI.
Synonyms: Lesion Identification with Neighborhood Data Analysis
Resource Type: software toolkit, software resource
Defining Citation: PMID:26756101
Keywords: Automated, segmentation, chronic, stroke, lesion, algorithm, relationship, existing, manual, single, T1 weighted, MRI
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 LINDA.
No alerts have been found for LINDA.
Source: SciCrunch Registry