Improving image labelling quality

There is a continuing demand for high-quality, large-scale annotated datasets in medical imaging supported by machine learning. A new study investigates the importance of what type of instructions crowdsourced annotators receive.

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Bibliographic Details
Published inNature machine intelligence Vol. 5; no. 4; pp. 335 - 336
Main Authors Day, Thomas G., Simpson, John M., Razavi, Reza, Kainz, Bernhard
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.04.2023
Nature Publishing Group
Subjects
639/705/117
692/308/1426
Datasets
Engineering
Image quality
Labeling
Machine learning
Medical imaging
Medical research
News & Views
news-and-views
Subject specialists
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Summary:There is a continuing demand for high-quality, large-scale annotated datasets in medical imaging supported by machine learning. A new study investigates the importance of what type of instructions crowdsourced annotators receive.
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ISSN:2522-5839
2522-5839
DOI:10.1038/s42256-023-00645-1