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

A Udrea, GD Mitra, D Costea, Eline Noels, Marlies Wakkee, DM Siegel, TM de Carvalho, Tamar Nijsten

Research output: Contribution to journal › Article › Academic › peer-review

71 Citations (Scopus)

Original language	Undefined/Unknown
Pages (from-to)	648-655
Number of pages	8
Journal	Journal of the European Academy of Dermatology and Venereology
Volume	34
DOIs	https://doi.org/10.1111/jdv.15935
Publication status	Published - 2020

Research programs

@article{ab45e800a4d64aba977b7aaf9a878f71,

title = "Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms",

author = "A Udrea and GD Mitra and D Costea and Eline Noels and Marlies Wakkee and DM Siegel and \{de Carvalho\}, TM and Tamar Nijsten",

year = "2020",

doi = "10.1111/jdv.15935",

language = "Undefined/Unknown",

volume = "34",

pages = "648--655",

journal = "Journal of the European Academy of Dermatology and Venereology",

issn = "0926-9959",

publisher = "John Wiley \& Sons Inc.",

}

TY - JOUR

T1 - Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms

AU - Udrea, A

AU - Mitra, GD

AU - Costea, D

AU - Noels, Eline

AU - Wakkee, Marlies

AU - Siegel, DM

AU - de Carvalho, TM

AU - Nijsten, Tamar

PY - 2020

Y1 - 2020

U2 - 10.1111/jdv.15935

DO - 10.1111/jdv.15935

M3 - Article

C2 - 31494983

SN - 0926-9959

VL - 34

SP - 648

EP - 655

JO - Journal of the European Academy of Dermatology and Venereology

JF - Journal of the European Academy of Dermatology and Venereology

ER -