Melanoma skin cancer detection and classification based on supervised and unsupervised learning

H. Mhaske, D. Phalke
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引用次数: 62

Abstract

Image processing is having very important role in medical domain. Melanoma skin cancer is critical and dangerous for human beings. Early detection of Melanoma skin cancer is very much necessary for the patient because this Melanoma skin cancer directly lead to the death of a person. If it is detected at early stage then Melanoma skin cancer is completely curable. In this paper early detection and classification of Melanoma skin cancer is done using different classifiers as Neural Network and Support Vector Machine.
基于监督与非监督学习的黑色素瘤皮肤癌检测与分类
图像处理在医学领域有着非常重要的作用。黑色素瘤皮肤癌对人类来说是非常严重和危险的。黑色素瘤皮肤癌的早期检测对患者来说是非常必要的,因为这种黑色素瘤皮肤癌直接导致一个人的死亡。如果在早期发现,那么黑色素瘤皮肤癌是完全可以治愈的。本文采用神经网络和支持向量机等不同的分类器对黑色素瘤皮肤癌进行早期检测和分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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