首页> 外文期刊>Expert Systems with Application >Effective features to classify skin lesions in dermoscopic images
【24h】

Effective features to classify skin lesions in dermoscopic images

机译:在皮肤镜图像中对皮肤病变进行分类的有效功能

获取原文
获取原文并翻译 | 示例
       

摘要

Features such as shape and color are indispensable to determine whether a skin lesion is a melanoma or not. However, there are no fixed guidelines to define which features are effective and how to combine them for classification. This lack of definition impedes the development of the automatic analyses of dermoscopic images. In this work, a search for effective features was carried out using a support vector machine. Three image databases were used to verify the feasibility and sensitivity of the automatic classification used. The results showed which features had a major influence on the classification performance, and confirmed the need to use various types of features in this process. (C) 2017 Elsevier Ltd. All rights reserved.
机译:形状和颜色等特征对于确定皮肤病变是否为黑色素瘤是必不可少的。但是,没有固定的准则来定义哪些功能有效以及如何将其组合以进行分类。缺乏定义阻碍了皮肤镜图像自动分析的发展。在这项工作中,使用支持向量机进行了有效特征的搜索。使用三个图像数据库来验证使用自动分类的可行性和敏感性。结果表明哪些特征对分类性能有重大影响,并确认了在此过程中需要使用各种类型的特征。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号