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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285747/
https://www.ncbi.nlm.nih.gov/pubmed/34255646
http://dx.doi.org/10.2196/20708

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285747/
https://www.ncbi.nlm.nih.gov/pubmed/34255646
http://dx.doi.org/10.2196/20708

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