Deep learning‐based classification of dermatological lesions given a limited amount of labelled data-Reference-Cited by-同舟云学术

Deep learning‐based classification of dermatological lesions given a limited amount of labelled data

Published:2022-08-10 Issue:12 Volume:36 Page:2516-2524
ISSN:0926-9959
Container-title:Journal of the European Academy of Dermatology and Venereology
language:en
Short-container-title:Acad Dermatol Venereol

Author:

Krammer S.¹^ORCID,Li Y.¹,Jakob N.¹,Boehm A.S.¹,Wolff H.¹,Tang P.²,Lasser T.²,French L.E.¹,Hartmann D.¹^ORCID

Affiliation:

1. Department of Dermatology and Allergy University Hospital, LMU Munich Munich Germany

2. Department of Informatics, School of Computations, Information, and Technology, and Munich Institute of Biomedical Engineering Technical University of Munich Munich Germany

Funder

Bundesministerium für Gesundheit

Publisher

Wiley

Subject

Infectious Diseases,Dermatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jdv.18460

Reference35 articles.

1. The Global Burden of Skin Disease in 2010: An Analysis of the Prevalence and Impact of Skin Conditions

2. Burden of skin disease and associated socioeconomic status in Europe: An ecologic study from the Global Burden of Disease Study 2017

3. Canadian Burden of Skin Disease From 1990 to 2017: Results From the Global Burden of Disease 2017 Study

4. Prevalence of skin disease in a population-based sample of adults from five European countries

5. Global Burden of Skin and Subcutaneous Disease: A Longitudinal Analysis from the Global Burden of Disease Study From 1990-2017

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