Feasibility of Automated Deep Learning Design for Medical Image Classification by Healthcare Professionals with Limited Coding Experience
Livia Faes, Siegfried K. Wagner, Dun Jack Fu, Xiaoxuan Liu, Edward Korot, Joseph R. Ledsam, Trevor Back, Reena Chopra, Nikolas Pontikos, Christoph Kern, Gabriella Moraes, Martin K. Schmid, Dawn A. Sim, Konstantinos Balaskas, Lucas M. Bachmann, , Pearse Andrew Keane
This study evaluates automated deep learning tools for medical image classification by non-experts, showing high performance in some tasks but limitations in external validation and dataset quality.
bioRxiv · May 27, 2019 · PreprintBioinformatics