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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Bibliographic Details
Published in:	Journal of investigative dermatology Vol. 138; no. 7; p. 1529
Main Authors:	Han, Seung Seog, Kim, Myoung Shin, Lim, Woohyung, Park, Gyeong Hun, Park, Ilwoo, Chang, Sung Eun
Format:	Journal Article
Language:	English
Published:	United States 01.07.2018
Subjects:	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
ISSN:	1523-1747, 1523-1747
Online Access:	Get more information
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