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Resource:Internet Brain Segmentation Repository

Name: Resource:Internet Brain Segmentation Repository
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.
Abbreviation: IBSR
Parent Organization: Harvard Medical School; Massachusetts; USA
Supporting Agency: NINDS
Grant: 1 R01 NS34189-01
Resource Type(s): Data set
Resource: Resource
URL: http://www.nitrc.org/projects/ibsr
Id: nif-0000-00032
Related condition/disease: Normal, Tumor
Related to: Resource:NITRC
Availability: Public Domain
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
Organism: Human
Link to OWL / RDF: Download this content as OWL/RDF

Curation status: Uncurated

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Notes

This page uses this default form:Resource

Old URL: http://www.cma.mgh.harvard.edu/ibsr/

Contributors

Aarnaud, Ccdbuser, Nifbot2, Zaidaziz



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Facts about Resource:Internet Brain Segmentation RepositoryRDF feed
AbbrevIBSR  +
AvailabilityPublic Domain  +
CurationStatuscurated  +
DefiningCitationhttp://www.nitrc.org/projects/ibsr  +
DefinitionData set of manually-guided expert segment 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.
uss methods for the comparison of results.
ExampleImageIBSR.PNG  +
GrantCategory:1 R01 NS34189-01   +
Has default formThis property is a special property in this wiki.Resource  +
Has roleData set  +
Idnif-0000-00032  +
Is part ofHarvard Medical School; Massachusetts; USA  +
Keywords3d 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  +, Test Data  +, and Web service  +
LabelResource:Internet Brain Segmentation Repository  +
ModifiedDate6 November 2013  +
Page has default formThis property is a special property in this wiki.Resource  +
RelatedToResource:NITRC  +
Related diseaseNormal  +, and Tumor  +
SpeciesHuman  +
SuperCategoryResource  +
Supporting AgencyNINDS  +