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ZENODO
Dataset . 2017
License: CC BY NC ND
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY NC ND
Data sources: ZENODO
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2D Bright Field Yeast Cell Images With Ground Truth Annotations

Authors: Zhang, Chong; Huber, Florian; Michael Knop; Fred Hamprecht;

2D Bright Field Yeast Cell Images With Ground Truth Annotations

Abstract

Dataset used to evaluate the method described in "Yeast cell detection and segmentation in bright field microscopy", ISBI 2014 (DOI: 10.1109/ISBI.2014.6868107). Here, we provide the ground truth labels of: cell centers and segmentation, which are used in the publications: "Learning to Segment: Training Hierarchical Segmentation under a Topological Loss", MICCAI 2015. (DOI: 10.1007/978-3-319-24574-4_32) "Hierarchical Planar Correlation Clustering for Cell Segmentation", EMMCVPR 2015. (DOI: 10.1007/978-3-319-14612-6_36) "Cell Detection and Segmentation Using Correlation Clustering", MICCAI 2014. (DOI: 10.1007/978-3-319-10404-1_2)

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selected citations
These citations are derived from selected sources.
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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