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首页> European journal of cancer (Oxford, England : 1990)> Computerizing the first step of the two-step algorithm in dermoscopy: A convolutional neural network for differentiating melanocytic from non-melanocytic skin lesions.

Computerizing the first step of the two-step algorithm in dermoscopy: A convolutional neural network for differentiating melanocytic from non-melanocytic skin lesions.

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作者： Julia K,Winkler ^[1] ; Katharina S,Kommoss ^[2] ; Anastasia S,Vollmer ^[2] ; Andreas,Blum ^[3] ; Wilhelm,Stolz ^[4] ; T,Kränke ^[5] ; R,Hofmann-Wellenhof ^[5] ; Alexander,Enk ^[2] ; Ferdinand,Toberer ^[2] ; Holger A,Haenssle ^[2]

作者单位： Department of Dermatology, University of Heidelberg, Heidelberg, Germany. Electronic address: julia.winkler@med.uni-heidelberg.de. ^[1] Department of Dermatology, University of Heidelberg, Heidelberg, Germany. ^[2] Public, Private and Teaching Practice, Konstanz, Germany. ^[3] Department of Dermatology, Allergology and Environmental Medicine II, Hospital Thalkirchner Street, Munich, Germany. ^[4] Department of Dermatology and Venerology, Medical University of Graz, Graz, Austria. ^[5]

关键词 Convolutional neural network Ensemble approach Melanocytic Two-step dermoscopy algorithm

主题词人类(Humans);皮肤镜检查(Dermoscopy);皮肤肿瘤(Skin Neoplasms);横断面研究(Cross-Sectional Studies);诊断, 鉴别(Diagnosis, Differential);算法(Algorithms);黑色素瘤(Melanoma);黑素细胞(Melanocytes);ROC曲线(ROC Curve);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted);女(雌)性(Female)

DOI 10.1016/j.ejca.2024.114297

PMID 39217816

发布时间 2024-09-20

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European journal of cancer (Oxford, England

114297页

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