Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review

BACKGROUND: Recent years have been witnessing a substantial improvement in the accuracy of skin cancer classification using convolutional neural networks (CNNs). CNNs perform on par with or better than dermatologists with respect to the classification tasks of single images. However, in clinical pra...

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Bibliographic Details
Published in:J Med Internet Res
Main Authors: Höhn, Julia, Hekler, Achim, Krieghoff-Henning, Eva, Kather, Jakob Nikolas, Utikal, Jochen Sven, Meier, Friedegund, Gellrich, Frank Friedrich, Hauschild, Axel, French, Lars, Schlager, Justin Gabriel, Ghoreschi, Kamran, Wilhelm, Tabea, Kutzner, Heinz, Heppt, Markus, Haferkamp, Sebastian, Sondermann, Wiebke, Schadendorf, Dirk, Schilling, Bastian, Maron, Roman C, Schmitt, Max, Jutzi, Tanja, Fröhling, Stefan, Lipka, Daniel B, Brinker, Titus Josef
Format: Artigo
Language:Inglês
Published: JMIR Publications 2021
Subjects:
Review
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC8285747/
https://ncbi.nlm.nih.gov/pubmed/34255646
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/20708
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