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

Abstract

This study was registered at the German Clinical Trial Register (DRKS-Study-ID: DRKS00013570; https://www.drks.de/drks_web/).

Keywords

MedicineConvolutional neural networkReceiver operating characteristicArtificial intelligenceMedical diagnosisDiagnostic accuracyArea under curveDeep learningMelanomaPattern recognition (psychology)Machine learningRadiologyComputer scienceInternal medicine

MeSH Terms

Clinical CompetenceCross-Sectional StudiesDeep LearningDermatologistsDermoscopyHumansImage ProcessingComputer-AssistedInternational CooperationMelanomaROC CurveRetrospective StudiesSkinSkin Neoplasms

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Publication Info

Year: 2018
Type: article
Volume: 29
Issue: 8
Pages: 1836-1842
Citations: 1435
Access: Closed

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APA Style

                            
                                
                                    Holger A. Haenssle, 
                                
                                    Christine Fink, 
                                
                                    Roland Schneiderbauer
                                
                                et al.
                            
                            (2018). 
                            Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists. 
                            Annals of Oncology
                            , 29
                            (8)
                            , 1836-1842.
                            https://doi.org/10.1093/annonc/mdy166
                        

Identifiers

DOI: 10.1093/annonc/mdy166
PMID: 29846502

Data Quality

Data completeness: 86%