Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38412, first published .
Agreement Between Experts and an Untrained Crowd for Identifying Dermoscopic Features Using a Gamified App: Reader Feasibility Study

Agreement Between Experts and an Untrained Crowd for Identifying Dermoscopic Features Using a Gamified App: Reader Feasibility Study

Agreement Between Experts and an Untrained Crowd for Identifying Dermoscopic Features Using a Gamified App: Reader Feasibility Study

Journals

  1. McNeil A, Parks K, Liu X, Jiang B, Coco J, McCool K, Fabbri D, Duhaime E, Dawant B, Tkaczyk E. Crowdsourcing Skin Demarcations of Chronic Graft-Versus-Host Disease in Patient Photographs: Training Versus Performance Study. JMIR Dermatology 2023;6:e48589 View

Books/Policy Documents

  1. Xu Z, Yan J, Lu D, Wang Y, Luo J, Zheng Y, Tong R. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. View