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URL: http://www.nitrc.org/projects/webmill/
Proper Citation: Web Game for Collaborative Labeling (RRID:SCR_006685)
Description: Web game that provides an innovative infrastructure for labeling to enable an alternative to expert raters for medical image labeling through statistical analysis of the collaborative efforts of many, minimally-trained raters. Statistical atlases of regional brain anatomy have proven to be extremely useful in characterizing the relationship between the structure and function of the human nervous system. Typically, an expert human rater manually examines each slice of a three-dimensional volume. This approach can be exceptionally time and resource intensive, so cost severely limits the clinical studies where subject-specific labeling is feasible. Methods for improved efficiency and reliability of manual labeling would be of immense benefit for clinical investigation into morphological correlates of brain function.
Abbreviations: Web Game for Collaborative Labeling
Resource Type: software resource
Keywords: magnetic resonance, labeling, crowdsourcing
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