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Proceedings Paper

Color separation of H&E stained samples by linearly projecting the RGB representation onto a custom discriminant surface
Author(s): Paula Andrea Dorado; Raul Celis; Eduardo Romero
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Paper Abstract

This paper presents a novel color separation method for Hematoxylin-Eosin (H&E) stained Histopathology Images. The whole (R;G;B) space of the input image is projected to a family of surfaces connecting the distributions of a series of [(R + B)2=B;G] planes that divide the cloud of H&E tones. Such projection is then used to cluster both the Hematoxylin and Eosin samples, from where the color basis are then derived. The projection presented herein is more resilient to noise and therefore the separation process is less hampered when the staining properties largely vary. Unlike other normalization methods evaluated by comparing with gold standard images, the power of the method was demonstrated by thresholding the resulting Hematoxylin image with the well-known Otsu's method and the number of detected nuclei was compared with two manually annotated datasets. Despite the simplicity of this approach, the detection sensitivity was 71 % and 67 %, respectively

Paper Details

Date Published: 26 January 2017
PDF: 9 pages
Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 101600P (26 January 2017); doi: 10.1117/12.2256966
Show Author Affiliations
Paula Andrea Dorado, Univ. Nacional de Colombia (Colombia)
Raul Celis, Univ. Nacional de Colombia (Colombia)
Eduardo Romero, Univ. Nacional de Colombia (Colombia)

Published in SPIE Proceedings Vol. 10160:
12th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Jorge Brieva; Ignacio Larrabide; , Editor(s)

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