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10.3233/ACP-2012-0069 http://scihub22266oqcxt.onion/10.3233/ACP-2012-0069 C4605764!4605764!22935779     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Anal+Cell+Pathol+(Amst) 2012 ; 35 (5-6): 407-20 Nephropedia Template TP {{tp|p=22935779|t=2012. Multispectral Enhancement Method to Increase the Visual Differences of Tissue Structures in Stained Histopathology Images |pdf=|usr=}}{{22935779}} gab.com Text Multispectral Enhancement Method to Increase the Visual Differences of Tissue Structures in Stained Histopathology Images JO: Anal Cell Pathol (Amst) http://www.kidney.de/pget.php?&tw=1&pmid=22935779 #FOAvip In this paper we proposed a multispectral enhancement scheme in which the spectral colors of the stained tissue-structure of interest and its background can be independently modified by the user to further improve their visualization and color discrimination. The colors of the background objects are modified by transforming their N-band spectra through an NxN transformation matrix, which is derived by mapping the representative samples of their original spectra to the spectra of their target colors using least mean square method. On the other hand, the color of the tissue structure of interest is modified by modulating the transformed spectra with the sum of the pixel?s spectral residual-errors at specific bands weighted through an NxN weighting matrix; the spectral error is derived by taking the difference between the pixel?s original spectrum and its reconstructed spectrum using the first M dominant principal component vectors in principal component analysis. Promising results were obtained on the visualization of the collagen fiber and the non-collagen tissue structures, e.g., nuclei, cytoplasm and red blood cells (RBC), in a hematoxylin and eosin (H&E) stained image. Twit Text FOAVip Multispectral Enhancement Method to Increase the Visual Differences of Tissue Structures in Stained Histopathology Images ????Anal Cell Pathol (Amst) http://www.kidney.de/pget.php?&tw=1&pmid=22935779 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=22935779 #FOAvip English Wikipedia <ref>{{Cite pmid|22935779}}</ref> Multispectral Enhancement Method to Increase the Visual Differences of Tissue Structures in Stained Histopathology Images #MMPMID22935779 Bautista PA; Yagi Y Anal Cell Pathol (Amst) 2012[]; 35 (5-6): 407-20 PMID22935779show ga In this paper we proposed a multispectral enhancement scheme in which the spectral colors of the stained tissue-structure of interest and its background can be independently modified by the user to further improve their visualization and color discrimination. The colors of the background objects are modified by transforming their N-band spectra through an NxN transformation matrix, which is derived by mapping the representative samples of their original spectra to the spectra of their target colors using least mean square method. On the other hand, the color of the tissue structure of interest is modified by modulating the transformed spectra with the sum of the pixel?s spectral residual-errors at specific bands weighted through an NxN weighting matrix; the spectral error is derived by taking the difference between the pixel?s original spectrum and its reconstructed spectrum using the first M dominant principal component vectors in principal component analysis. Promising results were obtained on the visualization of the collagen fiber and the non-collagen tissue structures, e.g., nuclei, cytoplasm and red blood cells (RBC), in a hematoxylin and eosin (H&E) stained image. äMultispectral Enhancement Method to Increase the Visual Differences of(epmc).pdf DeepDyve Pubget Overpricing