Melanoma recognition by a deep learning convolutional neural network—Performance in different melanoma subtypes and localisations
Abstract
Deep learning convolutional neural networks (CNNs) show great potential for melanoma diagnosis. Melanoma thickness at diagnosis among others depends on melanoma localisation and subtype (e.g. advanced thickness in acrolentiginous or nodular melanomas). The question whether CNN may counterbalance physicians' diagnostic difficulties in these melanomas has not been addressed. We aimed to investigate the diagnostic performance of a CNN with approval...
Paper Details
Title
Melanoma recognition by a deep learning convolutional neural network—Performance in different melanoma subtypes and localisations
Published Date
Mar 1, 2020
Journal
Volume
127
Pages
21 - 29
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