Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms-Reference-Cited by-同舟云学术

Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms

Published:2019-10-08 Issue:3 Volume:34 Page:648-655
ISSN:0926-9959
Container-title:Journal of the European Academy of Dermatology and Venereology
language:en
Short-container-title:J Eur Acad Dermatol Venereol

Author:

Udrea A.¹²,Mitra G.D.²,Costea D.¹²,Noels E.C.³^ORCID,Wakkee M.³,Siegel D.M.⁴⁵,Carvalho T.M.³,Nijsten T.E.C.³

Affiliation:

1. Department of Automatic Control and Systems Engineering University Politehnica of Bucharest Bucharest Romania

2. SkinVision BV Amsterdam The Netherlands

3. Department of Dermatology Erasmus Medical Center Rotterdam The Netherlands

4. State University of New York Downstate Medical Center Brooklyn NY USA

5. Brooklyn Veterans Administration Medical Center New York NY USA

Publisher

Wiley

Subject

Infectious Diseases,Dermatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jdv.15935

Reference25 articles.

1. Fighting Melanoma with Smartphones: A Snapshot of Where We are a Decade after App Stores Opened Their Doors

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3. Dermatologist-level classification of skin cancer with deep neural networks

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

5. SEER.Cancer stat facts: melanoma of the skin.https://seer.cancer.gov/statfacts/html/melan.html(last accessed: 24 August 2018).

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