Augmented decision-making for acral lentiginous melanoma detection using deep convolutional neural networks.

S LeeY S ChuS K YooS ChoiS J ChoeS B KohK Y ChungL XingByung Ho OhS Yang

Published in: Journal of the European Academy of Dermatology and Venereology : JEADV (2020)

Augmented decision-making improved the performance of and concordance between the clinical decisions of a diverse group of experts. This study demonstrates the potential use of CNNs as an adjoining, decision-supporting system for physicians' decisions.

Keyphrases

decision making
convolutional neural network
deep learning
primary care
loop mediated isothermal amplification
human health