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Stain Deconvolution using statistical analysis of multi-resolution stain color presentation\
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\pard\pardeftab720\partightenfactor0
\fs20 \cf0 Najah Alsubaie
\fs14 \super 1,2
\fs20 \nosupersub , Nicholas Trahearn
\fs14 \super 1
\fs20 \nosupersub , Shan E Ahmed Raza
\fs14 \super 1
\fs20 \nosupersub , David Snead
\fs14 \super 3
\fs20 \nosupersub , Nasir M.\
Rajpoot
\fs14 \super 1\nosupersub \
\fs20 1 Department of Computer Science, University of Warwick, Coventry, UK\
2 Department of Computer Science, Princess Nourah University, Riyadh, KSA\
3 Department of Histopathology, University Hospitals Coventry and Warwickshire, Coventry, UK
\fs24
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4. Folder Contents
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The folder contains the following components:
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(1) A MATLAB implementation of the Stain Deconvolution using statistical analysis of multi-resolution stain color presentation
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Alsubaie N., Trahearn N., Raza S., Snead D. and Rajpoot N. , Stain Deconvolution using statistical analysis of multi-resolution stain color presentation\
,PloS ONE, 2016.
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(2) MATLAB mat files for the generated ground truth stored in folder GroundTruth such that: \
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a. SV is the ground truth stain vector
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b. number_H or number_E is the ground truth density maps. \
c. Folder number is GroundTruth matches the image number in RGB_images folder.
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5. Notes
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The toolbox and its components are provided for research use only.\
Please cite the paper if you use this code or any of the supplementary materials.
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6. Contact Information
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Please send all comments and feedback to Najah Alsubaie at: n.m.f.alsuabie@warwick.ac.uk
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}