A Review on the Applications of Crowdsourcing in Human Pathology
October 09, 2017 ยท The Cartographer ยท ๐ Journal of Pathology Informatics
"No code URL or promise found in abstract"
"Title-pattern auto-detect: A Review on the Applications of Crowdsourcing in Human Pathology"
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Authors
Roshanak Alialy, Sasan Tavakkol, Elham Tavakkol, Amir Ghorbani-Aghbologhi, Alireza Ghaffarieh, Seon Ho Kim, Cyrus Shahabi
arXiv ID
1710.03299
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
16
Venue
Journal of Pathology Informatics
Last Checked
2 days ago
Abstract
The advent of the digital pathology has introduced new avenues of diagnostic medicine. Among them, crowdsourcing has attracted researchers' attention in the recent years, allowing them to engage thousands of untrained individuals in research and diagnosis. While there exist several articles in this regard, prior works have not collectively documented them. We, therefore, aim to review the applications of crowdsourcing in human pathology in a semi-systematic manner. We firstly, introduce a novel method to do a systematic search of the literature. Utilizing this method, we, then, collect hundreds of articles and screen them against a pre-defined set of criteria. Furthermore, we crowdsource part of the screening process, to examine another potential application of crowdsourcing. Finally, we review the selected articles and characterize the prior uses of crowdsourcing in pathology.
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