articleTop 1% cited
Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm
Journal of Investigative Dermatology · 2018 · Vol. 138(7) · pp. 1529–1538
Seung Seog Han✉(Dr Youth Clinic)Myoung Shin Kim(Inje University Sanggye Paik Hospital)Woohyung LimGyeong‐Hun Park(Hallym University Dongtan Sacred Heart Hospital)Ilwoo Park(Chonnam National University Hospital)Sung Eun Chang(Asan Medical Center)
Cutaneous Melanoma Detection and ManagementNonmelanoma Skin Cancer StudiesAI in cancer detectionSeborrheic keratosisBasal cell carcinomaMedicineDermatologyConvolutional neural networkBasal cellActinic keratosisAlgorithmPathologyArtificial intelligence
MeSH terms
Deep LearningAdultAgedAged, 80 and overBiopsyDiagnosis, DifferentialFalse Positive ReactionsFemaleHumansImage Processing, Computer-AssistedLentigoMaleMiddle AgedPhotographyPredictive Value of Tests
Citations
699
FWCI
28.60
field-weighted impact
References
27
Percentile
100%
vs. same field & year
Citations per year
Cited by
High-performance medicine: the convergence of human and artificial intelligence
Nature Medicine · 2018 · 7,614 citations
References
A systematic review of worldwide incidence of nonmelanoma skin cancer
British Journal of Dermatology · 2012 · 1,906 citations
Gradient-based learning applied to document recognition
Proceedings of the IEEE · 1998 · 57,014 citations
ImageNet Large Scale Visual Recognition Challenge
International Journal of Computer Vision · 2015 · 39,683 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
JAMA · 2016 · 7,252 citations
Dermatologist-level classification of skin cancer with deep neural networks
Nature · 2017 · 13,224 citations
Colorectal cancer statistics, 2017
CA A Cancer Journal for Clinicians · 2017 · 3,861 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
