RADIOMICS

版本 1.2.0.0 (1.4 MB) 作者: Martin Vallières
MATLAB programming tools for radiomics analysis
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更新时间 2017/2/16
在 GitHub 上查看许可证

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|<https://github.com/mvallieres/radiomics >|
--> A package providing MATLAB programming tools for radiomics analysis.
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REFERENCE:
[1] Vallières, M. et al. (2015). A radiomics model from joint FDG-PET and
MRI texture features for the prediction of lung metastases in soft-tissue
sarcomas of the extremities. Physics in Medicine and Biology, 60(14),
5471-5496. doi:10.1088/0031-9155/60/14/5471
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AUTHOR: Martin Vallières <mart.vallieres@gmail.com>
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HISTORY:
- Version 1.0: May 2015
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DISCLAIMER:
"I'm not a programmer, I'm just a scientist doing stuff!"
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*** THANK YOU FOR YOUR INTEREST IN THIS PACKAGE ***
--> If you have any questions, comments or suggestions about this package,
please do not hesitate to contact me!

This package contains 5 folders:

1. 'TextureToolbox': MATLAB codes to perform texture analysis from an input
2D or 3D region of interest (ROI). This toolbox is self-contained and
can be used on its own outside of the radiomics package. In particular,
this texture analysis package implements wavelet band-pass filtering,
isotropic resampling, discretization length corrections and different
quantization tools. Please see ref. [1] for more details.

2. 'NonTextureFeatures': MATLAB codes to compute features other than textures
from an input 3D region of interest (ROI). Include features such as SUV
metrics, AUC-CSH, Percent Inactive, Size, Solidity, Volume and Eccentricity.
Please see ref. [1] for more details.

3. 'MultivariableModeling': MATLAB codes to perform multivariable analysis
operations such as logistic regression, bootstrapping, feature set
reduction, feature set selection, prediction performance estimation, etc.

4. 'Utilities': MATLAB codes used to perform different operations including
the computation of SUV maps, reading of directory containing DICOM imaging
data, conversion of RTstruct DICOM objects to 3D masks, etc.

5. 'STUDIES': MATLAB codes used for specific studies. To reproduce the
experiments of a given study, please see its corresponding folder.

- 'STSstudy': Ref. [1]. Imaging data and clinical information is
available on The Cancer Imaging Archive (TCIA) website
under the following DOI: <http://dx.doi.org/10.7937/K9/TCIA.2015.7GO2GSKS>.

***************************************************************************
ACKNOWLEDGEMENTS: other software code
- Wei's GLRLM toolbox: Xunkai Wei, Gray Level Run Length Matrix Toolbox
v1.0, Software,Beijing Aeronautical Technology Research Center, 2007.
<http://www.mathworks.com/matlabcentral/fileexchange/17482-gray-level-run-length-matrix-toolbox>
- Q. Li: <http://www.mathworks.com/matlabcentral/fileexchange/23377-ellipsoid-fitting>
- CERR development team: <http://www.cerr.info/>
- Dirk-Jan Kroon (imresize3D.m): <http://www.mathworks.com/matlabcentral/fileexchange/21451-multimodality-non-rigid-demon-algorithm-image-registration/content//functions/imresize3d.m>
- David Reshef and Yakir Reshef: MINE version 1.0.1d <http://www.exploredata.net/>
- DREES development team: <http://www.cerr.info/drees>
- Enric Junqué de Fortuny (fastAUC.cpp): <http://www.mathworks.com/matlabcentral/fileexchange/41258-faster-roc-auc>
- François Beauducel (roundsd.m): <http://www.mathworks.com/matlabcentral/fileexchange/26212-round-with-significant-digits>
- Jos van der Geest (herrorbar.m): <http://www.mathworks.com/matlabcentral/fileexchange/3963-herrorbar>
***************************************************************************

引用格式

Martin Vallières (2024). RADIOMICS (https://github.com/mvallieres/radiomics), GitHub. 检索时间: .

MATLAB 版本兼容性
创建方式 R2013b
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MultivariableModeling

MultivariableModeling/Bootstrapping

MultivariableModeling/LogisticRegression

MultivariableModeling/MINE

MultivariableModeling/Utilities

MultivariableModeling/Utilities/batch

MultivariableModeling/Utilities/fastAUC

MultivariableModeling/Utilities/herrorbar

MultivariableModeling/Utilities/roundsd

NonTextureFeatures

STUDIES/HN_study/Functions/AertsSignature

STUDIES/HN_study/Functions/BATCH_COMPUTATIONS

STUDIES/HN_study/Functions/FEATURES_COMPUTATIONS

STUDIES/HN_study/Functions/FEATURES_COMPUTATIONS/Old

STUDIES/HN_study/Functions/FUSION_PET-CT

STUDIES/HN_study/Functions/FUSION_PET-CT/Old

STUDIES/HN_study/Functions/MULTIVARIABLE_MODELING

STUDIES/HN_study/Functions/PRE-PROCESSING

STUDIES/HN_study/Functions/PRE-PROCESSING/PVEcorrection

STUDIES/HN_study/Functions/PRE-PROCESSING/PVEcorrection/Utilities

STUDIES/HN_study/Functions/PRE-PROCESSING/PVEcorrection/Utilities/nonIsotropicGaussianPSF

STUDIES/HN_study/Functions/READ_DATA

STUDIES/HN_study/Functions/READ_DATA/Archives

STUDIES/HN_study/Functions/READ_DATA/DICOM_Import

STUDIES/HN_study/Functions/UTILITIES

STUDIES/HN_study/Functions/UTILITIES/hatchfill2_r7

STUDIES/HN_study/Functions/UTILITIES/kakearney-legendflex-pkg-98b988e

STUDIES/HN_study/Functions/UTILITIES/kakearney-legendflex-pkg-98b988e/legendflex

STUDIES/HN_study/Functions/UTILITIES/kakearney-legendflex-pkg-98b988e/setgetpos_V1.2

STUDIES/HN_study/Functions/UTILITIES/raacampbell-sigstar-9b21ae3

STUDIES/HN_study/WORKSPACE

STUDIES/LGG_study/Functions

STUDIES/LGG_study/WORKSPACE

STUDIES/STS_study/Functions

STUDIES/STS_study/WORKSPACE

TextureToolbox/Pre-processing

TextureToolbox/Pre-processing/Normalization

TextureToolbox/Pre-processing/Quantization

TextureToolbox/Pre-processing/Wavelet

TextureToolbox/Textures/GLCM

TextureToolbox/Textures/GLRLM

TextureToolbox/Textures/GLRLM/Wei_Toolbox

TextureToolbox/Textures/GLSZM

TextureToolbox/Textures/Global

TextureToolbox/Textures/NGTDM

TextureToolbox/Utilities

Utilities

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