文章基本信息

标题：AN EFFICIENT SKIN CANCER PROGNOSIS STRATEGY USING DEEP LEARNING TECHNIQUES
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作者：S. RANGA SWAMY Dr. ; C. SRINIVASA KUMAR Dr. ; A. Gauthami Latha Dr. 等
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2021
卷号：12
期号：1
页码：101-111
DOI：10.21817/indjcse/2021/v12i1/211201180
出版社：Engg Journals Publications
摘要：To start the right treatment, identification of an indefinite skin lesion is necessary. Only highly trained dermatologists who can treat them with an early diagnosis and diagnose melanoma skin lesions. The classification of skin for melanoma Dermoscopic images is 70 percent. Due to the limited supply of expertise, systems that sort dermal growth as the autoimmune or metastatic tumor can serve as an early screening tool. This study provides a model of the Convolutional neural network trained for skin lesion images, from previously acquired features of the Highway Convolutional neural network (CNN). It does not require advanced preprocessing. In addition, the model not require much computing power to train. The Convolutional neural network (CNN) method achieves training accuracy of 50%, and 70% of the test data have classification accuracy, low, moderate and high accuracy of the estimated damage.
关键词：Classification taxonomy; Convolutional neural networks; Skin cancer; melanoma.