23 March 2016 Offset-sparsity decomposition for enhancement of color microscopic image of stained specimen in histopathology: further results
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Abstract
Recently, novel data-driven offset-sparsity decomposition (OSD) method was proposed by us to increase colorimetric difference between tissue-structures present in the color microscopic image of stained specimen in histopathology. The OSD method performs additive decomposition of vectorized spectral images into image-adapted offset term and sparse term. Thereby, the sparse term represents an enhanced image. The method was tested on images of the histological slides of human liver stained with hematoxylin and eosin, anti-CD34 monoclonal antibody and Sudan III. Herein, we present further results related to increase of colorimetric difference between tissue structures present in the images of human liver specimens with pancreatic carcinoma metastasis stained with Gomori, CK7, CDX2 and LCA, and with colon carcinoma metastasis stained with Gomori, CK20 and PAN CK. Obtained relative increase of colorimetric difference is in the range [19.36%, 103.94%].
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Ivica Kopriva, Marijana Popović Hadžija, Mirko Hadžija, Gorana Aralica, "Offset-sparsity decomposition for enhancement of color microscopic image of stained specimen in histopathology: further results", Proc. SPIE 9791, Medical Imaging 2016: Digital Pathology, 97910P (23 March 2016); doi: 10.1117/12.2212198; https://doi.org/10.1117/12.2212198
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