Diferencia entre revisiones de «GIC-experimental-databases/Whole OASIS deformation feature vectors»

De Grupo de Inteligencia Computacional (GIC)
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<h4>
Data
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ftp@sands-social-network-mockup.com
:[http://data.sands-social-network-mockup.com/oasis_data FTP directory with OASIS data]


[http://data.sands-social-network-mockup.com FTP]


Direct links to the datasets


:[http://data.sands-social-network-mockup.com/oasis_data/jacs.hdft5 OASIS Jacobian Determinants]
:[http://data.sands-social-network-mockup.com/oasis_data/modulatedgm.hdft5 OASIS Modulated Grey Matter]
:[http://data.sands-social-network-mockup.com/oasis_data/geodan.hdft5 OASIS Geodesic Anisotropy]
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Reference
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:- Alexandre Savio, Manuel Graña; ''Deformation based feature selection for Computer Aided Diagnosis of Alzheimer’s Disease'', Expert Systems with Applications, Available online 20 September 2012, Volume 40, Issue 5, April 2013, Pages 1619–1628 [http://dx.doi.org/10.1016/j.eswa.2012.09.009][[Media:Alexsavio_eswa12_draft.pdf | draft]] JCR (2011) 2.203 (Q1 in CSAI)
<h4>
Software
</h4>
* [https://github.com/alexsavio/aizkolari#aizkolari Aizkolari tools]
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Code snippet for reading the HDF5 files from Matlab
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  filename = 'modulatedgm.hdf5'
  filename = 'modulatedgm.hdf5'
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  end
  end
  clear i finfo var varname dsname
  clear i finfo var varname dsname
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<h4>
Note
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In order to reduce the size of the database, the feature vector elements have been changed from float32 to float16.
We haven't tested this data.
If you have any problem, please contact us.

Revisión actual - 09:58 4 oct 2013

Data

FTP directory with OASIS data


Direct links to the datasets

OASIS Jacobian Determinants
OASIS Modulated Grey Matter
OASIS Geodesic Anisotropy


Reference

- Alexandre Savio, Manuel Graña; Deformation based feature selection for Computer Aided Diagnosis of Alzheimer’s Disease, Expert Systems with Applications, Available online 20 September 2012, Volume 40, Issue 5, April 2013, Pages 1619–1628 [1] draft JCR (2011) 2.203 (Q1 in CSAI)


Software


Code snippet for reading the HDF5 files from Matlab

filename = 'modulatedgm.hdf5'
finfo = h5info(filename);
for i = 1:size(finfo.Datasets,1)
   varname = finfo.Datasets(i).Name
   var     = genvarname(varname);
   dsname  = ['/' varname];
   eval( [var '= h5read(filename, dsname);' ]);
end
clear i finfo var varname dsname


Note

In order to reduce the size of the database, the feature vector elements have been changed from float32 to float16. We haven't tested this data. If you have any problem, please contact us.