Skin Cancer Classification Using Convolutional Neural Networks with Integrated Patient Data: A Systematic Review (Preprint)-Reference-Cited by-同舟云学术

Skin Cancer Classification Using Convolutional Neural Networks with Integrated Patient Data: A Systematic Review (Preprint)

Published:2020-05-27 Issue: Volume: Page:
ISSN:1438-8871
Container-title:Journal of Medical Internet Research
language:en
Short-container-title:

Author:

Höhn Julia^ORCID,Hekler Achim^ORCID,Krieghoff-Henning Eva^ORCID,Kather Jakob Nikolas^ORCID,Utikal Jochen Sven^ORCID,Meier Friedegund^ORCID,Gellrich Frank Friedrich^ORCID,Hauschild Axel^ORCID,French Lars^ORCID,Schlager Justin Gabriel^ORCID,Ghoreschi Kamran^ORCID,Wilhelm Tabea^ORCID,Kutzner Heinz^ORCID,Heppt Markus^ORCID,Haferkamp Sebastian^ORCID,Sondermann Wiebke^ORCID,Schadendorf Dirk^ORCID,Schilling Bastian^ORCID,Maron Roman C.^ORCID,Schmitt Max^ORCID,Jutzi Tanja^ORCID,Fröhling Stefan^ORCID,Lipka Daniel B.^ORCID,Brinker Titus Josef^ORCID

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Reference19 articles.

1. Accuracy of Computer-Aided Diagnosis of Melanoma

2. Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review

3. Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders

4. Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study

5. Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network

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