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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 HanMyoung Shin KimWoohyung LimGyeong‐Hun ParkIlwoo ParkSung Eun Chang
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
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References
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Gradient-based learning applied to document recognition
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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
Colorectal cancer statistics, 2017
CA A Cancer Journal for Clinicians · 2017 · 3,861 citations
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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm · Scinovex