Characterizing and optimizing rater performance for Internet-based collaborative labeling

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Characterizing and Optimizing Rater Performance for Internet-based Collaborative Labeling
Authors: Joshua A. Stein, Andrew J. Asman, Bennett A. Landman
Citation: Proceedings - Society of Photo-Optical Instrumentation Engineers 7966 : missing pages. 2011 March
Database(s): PubMed (PMID/21857775)
DOI: 10.1117/12.878412.
PMCID:3157950
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Extract:

Characterizing and optimizing rater performance for Internet-based collaborative labeling was a study on crowdsourced web-based collaborative image labeling.

The system was targeted to label neuroanatomy from neuroimages, but they only used abstract figures. This was to evaluating the input devices.

The WebMill Web Game for Collaborative Labeling was used to collect imaging labels.

[edit] Related papers

  1. Foibles, follies, and fusion: web-based collaboration for medical image labeling
  2. Foibles, follies, and fusion: assessment of statistical label fusion techniques for web-based collaborations using minimal training

[edit] Critique

  1. The weblink https://brassie.ece.jhu.edu/Home does work.
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