Diferencia entre revisiones de «GIC-experimental-databases/Whole OASIS deformation feature vectors»
De Grupo de Inteligencia Computacional (GIC)
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Data | |||
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[http://data.sands-social-network-mockup.com/oasis_data FTP] | |||
ftp@sands-social-network-mockup.com | Username: ftp@sands-social-network-mockup.com | ||
[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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:- 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) | :- 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) | ||
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* [https://github.com/alexsavio/aizkolari#aizkolari Aizkolari tools] | * [https://github.com/alexsavio/aizkolari#aizkolari Aizkolari tools] | ||
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clear i finfo var varname dsname | clear i finfo var varname dsname | ||
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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 del 08:27 4 oct 2013
Data
Username: ftp@sands-social-network-mockup.com
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 HDF5 file 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.