Difference between revisions of "Gimias"

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(Gimias)
 
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[[http://www.gimias.org Gimias]] "is a workflow-oriented environment for solving advanced biomedical image computing and individualized simulation problems, which is extensible through the development of problem-specific plug-ins. In addition, GIMIAS provides an open source framework for efficient development of research and clinical software prototypes integrating contributions from the Physiome community while allowing business-friendly technology transfer and commercial product development."
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====Type of Data====
 
====Type of Data====
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Gimias is used mostly to process mesh data, but also 2 and 3D scalar images, and, more generally, medical images.
  
 
====Size of Data Set====
 
====Size of Data Set====
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Data sets are:
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*"millions of elements"
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*10kB to 15GB
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*up to 1GB
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*few MB to GB
  
 
====Advantages====
 
====Advantages====
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*Gimias allows rapid prototyping of clinical applications.
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*It is open-source
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*Cross-platform
  
 
====Quality of Documentation/Tutorials====
 
====Quality of Documentation/Tutorials====
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Documentation is applauded. "not extensive, but useful", "excellent". It appears to cater for the whole range of users - novice to expert.
  
 
====Range of Data Formats====
 
====Range of Data Formats====
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"most of them" is a phrase used. In addition, it provides the facility to create a reader for any new format
  
====Support for data Formats====
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====Level of Support Available====
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Respondents state it has a very responsive development team.
  
 
====Performance====
 
====Performance====
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Performance is uniformly described as good.
  
 
====Limitations====
 
====Limitations====
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It seems to have no limitations.
  
 
====Comments====
 
====Comments====
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The one comment, made in 3 of the 4 responses is that this is open source , BSD licence, and extensible.

Latest revision as of 17:15, 21 November 2014

[Gimias] "is a workflow-oriented environment for solving advanced biomedical image computing and individualized simulation problems, which is extensible through the development of problem-specific plug-ins. In addition, GIMIAS provides an open source framework for efficient development of research and clinical software prototypes integrating contributions from the Physiome community while allowing business-friendly technology transfer and commercial product development."


Type of Data

Gimias is used mostly to process mesh data, but also 2 and 3D scalar images, and, more generally, medical images.

Size of Data Set

Data sets are:

  • "millions of elements"
  • 10kB to 15GB
  • up to 1GB
  • few MB to GB

Advantages

  • Gimias allows rapid prototyping of clinical applications.
  • It is open-source
  • Cross-platform

Quality of Documentation/Tutorials

Documentation is applauded. "not extensive, but useful", "excellent". It appears to cater for the whole range of users - novice to expert.

Range of Data Formats

"most of them" is a phrase used. In addition, it provides the facility to create a reader for any new format

Level of Support Available

Respondents state it has a very responsive development team.

Performance

Performance is uniformly described as good.

Limitations

It seems to have no limitations.

Comments

The one comment, made in 3 of the 4 responses is that this is open source , BSD licence, and extensible.