"Though VC is widely recognized as a highly sensitive and specific test for identifying polyps, one limitation is the reading time, which can take on average 30 minutes per patient.
...
"[W]e have tested the ability of the collective crowd intelligence of non-expert workers to identify polyp candidates and polyp-free regions. We presented twenty short videos flying through a segment of a virtual colon to each worker, and the crowd workers are asked to determine whether or not a polyp candidate was observed within that video segment. We evaluated our framework on Amazon Mechanical Turk and found that the crowd was able to achieve a sensitivity of 80.0% and specificity of 86.5% in identifying video segments which contained a clinically proven polyp. Since each polyp appeared in multiple consecutive segments, all polyps were in fact identified. Using the crowd results as a first pass, 80% of the video segments could be skipped by the radiologist, equating to a significant time savings and enabling more VC examinations to be performed."
8-page PDF:
http://arxiv.org/pdf/1606.06702v1.pdf
Abstract Only (HTML):
http://arxiv.org/abs/1606.06702
"[W]e have tested the ability of the collective crowd intelligence of non-expert workers to identify polyp candidates and polyp-free regions. We presented twenty short videos flying through a segment of a virtual colon to each worker, and the crowd workers are asked to determine whether or not a polyp candidate was observed within that video segment. We evaluated our framework on Amazon Mechanical Turk and found that the crowd was able to achieve a sensitivity of 80.0% and specificity of 86.5% in identifying video segments which contained a clinically proven polyp. Since each polyp appeared in multiple consecutive segments, all polyps were in fact identified. Using the crowd results as a first pass, 80% of the video segments could be skipped by the radiologist, equating to a significant time savings and enabling more VC examinations to be performed."
8-page PDF:
http://arxiv.org/pdf/1606.06702v1.pdf
Abstract Only (HTML):
http://arxiv.org/abs/1606.06702