Quanti.us: a tool for rapid, flexible, crowd-based annotation of images.
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- Record sourced from PubMed, PMID 30065368.
- Also identified by DOI 10.1038/s41592-018-0069-0 and PMC identifier 8863499.
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Abstract
We describe Quanti.us , a crowd-based image-annotation platform that provides an accurate alternative to computational algorithms for difficult image-analysis problems. We used Quanti.us for a variety of medium-throughput image-analysis tasks and achieved 10-50× savings in analysis time compared with that required for the same task by a single expert annotator. We show equivalent deep learning performance for Quanti.us-derived and expert-derived annotations, which should allow scalable integration with tailored machine learning algorithms.
Medical subject headings
- Image Processing, Computer-Assisted
- Software