Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition


12 Jun 2018 10:28 Ricerca


Background

Deep learning convolutional neural networks (CNN) may facilitate melanoma detection, but data comparing a CNN's diagnostic performance to larger groups of dermatologists are lacking.

Methods

Googlès Inception v4 CNN architecture was trained and validated using dermoscopic images and corresponding diagnoses. In a comparative cross-sectional reader study a 100-image test-set was used (level-I: dermoscopy only; level-II: dermoscopy plus clinical information and images).

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Haenssle HA, Fink C, Schneiderbauer R, Toberer F, Buhl T, Blum A, Kalloo A, Hassen ABH, Thomas L, Enk A, Uhlmann L.

Ann Oncol. 2018 May 28. doi: 10.1093/annonc/mdy166. [Epub ahead of print]

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