Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation.
PLoS One
; 12(1): e0169875, 2017.
Article
em En
| MEDLINE
| ID: mdl-28076381
ABSTRACT
Stain colour estimation is a prominent factor of the analysis pipeline in most of histology image processing algorithms. Providing a reliable and efficient stain colour deconvolution approach is fundamental for robust algorithm. In this paper, we propose a novel method for stain colour deconvolution of histology images. This approach statistically analyses the multi-resolutional representation of the image to separate the independent observations out of the correlated ones. We then estimate the stain mixing matrix using filtered uncorrelated data. We conducted an extensive set of experiments to compare the proposed method to the recent state of the art methods and demonstrate the robustness of this approach using three different datasets of scanned slides, prepared in different labs using different scanners.
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Base de dados:
MEDLINE
Assunto principal:
Algoritmos
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Processamento de Imagem Assistida por Computador
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Modelos Estatísticos
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Técnicas Histológicas
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Cor
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Corantes
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article