Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm

We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases—basal cell carcinoma, squamous cell carcinoma, intraepithelial carcinoma, actinic keratosis, seborrheic keratosis, malignant melanoma, melanocytic nevus, lentigo, pyogenic granuloma, hemangioma, dermat...

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Veröffentlicht in:	Journal of investigative dermatology 2018-07, Vol.138 (7), p.1529-1538
Hauptverfasser:	Han, Seung Seog, Kim, Myoung Shin, Lim, Woohyung, Park, Gyeong Hun, Park, Ilwoo, Chang, Sung Eun
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Aged, 80 and over Area Under Curve Biopsy Datasets as Topic Deep Learning Diagnosis, Differential False Positive Reactions Female Granuloma, Pyogenic - diagnostic imaging Granuloma, Pyogenic - pathology Humans Image Processing, Computer-Assisted - methods Keratosis, Actinic - diagnostic imaging Keratosis, Actinic - pathology Keratosis, Seborrheic - diagnostic imaging Keratosis, Seborrheic - pathology Lentigo - diagnostic imaging Lentigo - pathology Male Middle Aged Photography Predictive Value of Tests ROC Curve Skin - diagnostic imaging Skin - pathology Skin Neoplasms - diagnostic imaging Skin Neoplasms - pathology Software Warts - diagnostic imaging Warts - pathology Young Adult
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