  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.
