id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_in2lrr3ul5ey7kan7batvapgie	Danny Mitry	Crowdsourcing as a Screening Tool to Detect Clinical Features of Glaucomatous Optic Neuropathy from Digital Photography	2015.0	9	.pdf	application/pdf	3961	603	53	Crowdsourcing as a Screening Tool to Detect Clinical Features of Glaucomatous Optic Neuropathy from Digital Photography screening tool to detect clinical features of glaucomatous optic neuropathy from digital photography. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), https://pure.qub.ac.uk/en/publications/crowdsourcing-as-a-screening-tool-to-detect-clinical-features-of-glaucomatous-optic-neuropathy-from-digital-photography(3804d11d-08b5-43a1-997e-961d4cf2633a).html Our aim was to assess the performance and repeatability of crowdsourcing in the classification of normal and glaucomatous discs from optic disc images. Optic disc images (N = 127) with pre-determined disease status were selected by consensus agreement from grading experts from a large cohort study. developing a screening tool for glaucomatous optic neuropathy using either expert graded imaging or automated detection[2–4], however to date, no individual method can be recommended.[5] Using the MTurk platform, our aim was to assess the sensitivity and specificity of crowdsourcing as a technique to detect typical signs of glaucomatous optic neuropathy from colour	./cache/work_in2lrr3ul5ey7kan7batvapgie.pdf	./txt/work_in2lrr3ul5ey7kan7batvapgie.txt