Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts-Reference-Cited by-同舟云学术

Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

Published:2021-10 Issue: Volume:156 Page:202-216
ISSN:0959-8049
Container-title:European Journal of Cancer
language:en
Short-container-title:European Journal of Cancer

Author:

Haggenmüller Sarah,Maron Roman C.,Hekler Achim,Utikal Jochen S.,Barata Catarina^ORCID,Barnhill Raymond L.,Beltraminelli Helmut,Berking Carola^ORCID,Betz-Stablein Brigid^ORCID,Blum Andreas,Braun Stephan A.,Carr Richard,Combalia Marc,Fernandez-Figueras Maria-Teresa^ORCID,Ferrara Gerardo^ORCID,Fraitag Sylvie,French Lars E.^ORCID,Gellrich Frank F.,Ghoreschi Kamran,Goebeler Matthias,Guitera Pascale^ORCID,Haenssle Holger A.,Haferkamp Sebastian,Heinzerling Lucie,Heppt Markus V.^ORCID,Hilke Franz J.^ORCID,Hobelsberger Sarah^ORCID,Krahl Dieter,Kutzner Heinz,Lallas Aimilios,Liopyris Konstantinos,Llamas-Velasco Mar^ORCID,Malvehy Josep,Meier Friedegund,Müller Cornelia S.L.,Navarini Alexander A.,Navarrete-Dechent Cristián,Perasole Antonio,Poch Gabriela^ORCID,Podlipnik Sebastian^ORCID,Requena Luis,Rotemberg Veronica M.,Saggini Andrea,Sangueza Omar P.,Santonja Carlos^ORCID,Schadendorf Dirk,Schilling Bastian,Schlaak Max,Schlager Justin G.,Sergon Mildred^ORCID,Sondermann Wiebke^ORCID,Soyer H. Peter^ORCID,Starz Hans,Stolz Wilhelm,Vale Esmeralda,Weyers Wolfgang,Zink Alexander,Krieghoff-Henning Eva,Kather Jakob N.,von Kalle Christof,Lipka Daniel B.^ORCID,Fröhling Stefan,Hauschild Axel,Kittler Harald^ORCID,Brinker Titus J.^ORCID

Funder

National Institutes of Health

National Cancer Institute

Bundesministerium für Gesundheit

Publisher

Elsevier BV

Subject

Cancer Research,Oncology

Reference41 articles.

1. Fusing fine-tuned deep features for skin lesion classification;Mahbod;Comput Med Imaging Graph,2019

2. Meta-analysis of digital dermoscopy follow-up of melanocytic skin lesions: a study on behalf of the International Dermoscopy Society;Salerni;J Eur Acad Dermatol Venereol,2013

3. Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: a meta-analysis of studies performed in a clinical setting;Vestergaard;Br J Dermatol,2008

4. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists;Haenssle;Ann Oncol,2018

5. Discordance in the histopathologic diagnosis of difficult melanocytic neoplasms in the clinical setting;Lodha;J Cutan Pathol,2008

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