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Software . 2015
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new-colors-histology: Matlab source code for "New colors for histology"

Authors: Jakob Nikolas Kather;

new-colors-histology: Matlab source code for "New colors for histology"

Abstract

Overview This repository contains the source codes and raw data that were used in the project: "New colors for histology: optimized bivariate color maps increase perceptual contrast in histological images" by Jakob Nikolas Kather, Cleo-Aron Weis, Alexander Marx, Alexander K. Schuster, Lothar R. Schad and Frank Gerrit Zöllner. This project will be published in PLOS ONE 2015. For a detailed description of the computational methods, please refer to the paper. Additional information is also available in the article supplements. The source code was tested in Matlab R2015a. Licenses The License for the source codes is available in the LICENSE file. Please note that some of the input images (IHC*) are derived from ProteinAtlas (http://www.proteinatlas.org, see Uhlén et al (2015). Tissue-based map of the human proteome. DOI: 10.1126/science.1260419). For these images, the ProteinAtlas data usage conditions apply (see http://www.proteinatlas.org/about/datausage). For all other image, the license in the LICENSE file applies. Contact Please feel free to contact Jakob Nikolas Kather (jakob.kather@medma.uni-heidelberg.de).

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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