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URL: http://www.nitrc.org/projects/ibsr
Proper Citation: Internet Brain Segmentation Repository (RRID:SCR_001994)
Description: Data set of manually-guided expert segmentation results along with magnetic resonance brain image data. Its purpose is to encourage the development and evaluation of segmentation methods by providing raw test and image data, human expert segmentation results, and methods for comparing segmentation results. Please see the MediaWiki for more information. This repository is meant to contain standard test image data sets which will permit a standardized mechanism for evaluation of the sensitivity of a given analysis method to signal to noise ratio, contrast to noise ratio, shape complexity, degree of partial volume effect, etc. This capability is felt to be essential to further development in the field since many published algorithms tend to only operate successfully under a narrow range of conditions which may not extend to those experienced under the typical clinical imaging setting. This repository is also meant to describe and discuss methods for the comparison of results.
Abbreviations: IBSR
Resource Type: data or information resource, data set
Keywords: 3d model, anatomy, brainstem, cerebellum, cortex, gray matter, imaging, morphology, mri, segmentation, volume, white matter, adult human, male, child, image collection, application, magnetic resonance, os independent, php, quality metrics, segmentation, test data, web service
Related Condition: Normal, Tumor
Funding: NINDS 1 R01 NS34189-01
Availability: Free, Available for download, Freely available
Resource Name: Internet Brain Segmentation Repository
Resource ID: SCR_001994
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
