Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study - Faes, Livia; Wagner, Siegfried K; Fu, Dun Jack; Liu, Xiaoxuan; Korot, Edward; Ledsam, Joseph R; Back, Trevor; Chopra, Reena; Pontikos, Nikolas; Kern, Christoph; Moraes, Gabriella; Schmid, Martin K; et al. (The Lancet. Digital health, 2019)
Keywords: Adult; Algorithms; Data Interpretation, Statistical; Deep Learning; Feasibility Studies; Fundus Oculi; Humans; Informatics; Internal Medicine; Public Health; Skin Neoplasms - diagnosis; Software; Tomography, Optical Coherence - statistics & numerical data