Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition-Reference-Cited by-同舟云学术

Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition

Published:2019-10-01 Issue:10 Volume:155 Page:1135
ISSN:2168-6068
Container-title:JAMA Dermatology
language:en
Short-container-title:JAMA Dermatol

Author:

Winkler Julia K.¹,Fink Christine¹,Toberer Ferdinand¹,Enk Alexander¹,Deinlein Teresa²,Hofmann-Wellenhof Rainer²,Thomas Luc³,Lallas Aimilios⁴,Blum Andreas⁵,Stolz Wilhelm⁶,Haenssle Holger A.¹

Affiliation:

1. Department of Dermatology, University of Heidelberg, Heidelberg, Germany

2. Department of Dermatology and Venerology, Medical University of Graz, Graz, Austria

3. Department of Dermatology, Lyon Sud University Hospital, Hospices Civils de Lyon, Pierre Bénite, France

4. First Department of Dermatology, Aristotle University of Thessaloniki, Thessaloniki, Greece

5. Public, Private, and Teaching Practice, Konstanz, Germany

6. Department of Dermatology, Allergology and Environmental Medicine II, Klinik Thalkirchnerstraße, Munich, Germany

Publisher

American Medical Association (AMA)

Subject

Dermatology

Link

https://jamanetwork.com/journals/jamadermatology/articlepdf/2740808/jamadermatology_winkler_2019_oi_190038.pdf

Reference30 articles.

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4. Is dermoscopy (epiluminescence microscopy) useful for the diagnosis of melanoma? results of a meta-analysis using techniques adapted to the evaluation of diagnostic tests.;Bafounta;Arch Dermatol,2001

5. 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

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