...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Image Processing, IET >Content-based image retrieval in dermatology using intelligent technique
【24h】

Content-based image retrieval in dermatology using intelligent technique

机译：使用智能技术在皮肤病学中基于内容的图像检索

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This study proposes a content-based image retrieval system for skin lesion images as a diagnostic aid. Effectiveness is measured by the rate of correct retrieval of images from skin lesions. The proposed architecture is used to retrieve digital images and the name of the disease category from an image data repository by the contents in the image, such as shape, texture and colour that is extracted from the image. The author's proposed algorithm used feature vector, classification and regression tree to retrieve comprehensive reference sources for diagnostic purpose. The results proved using a receiver operating characteristic curve that the proposed architecture has high contribute to computer-aided diagnosis of skin lesions. Experiments on a set of 1210 images yielded a specificity of 97.25% and a sensitivity of 91.24%. Their empirical evaluation has a superior retrieval and diagnosis performance when compared to the performance of other works. The authors present explicit combinations of feature vectors corresponding to healthy and lesion skin.
机译：这项研究提出了一种基于内容的皮肤病变图像检索系统，作为诊断辅助工具。通过从皮肤病变中正确检索图像的比率来衡量有效性。所提出的体系结构用于通过图像中的内容（例如从图像中提取的形状，纹理和颜色）从图像数据存储库中检索数字图像和疾病类别的名称。作者提出的算法使用特征向量，分类和回归树来检索用于诊断目的的综合参考源。使用接收器工作特性曲线证明的结果表明，所提出的体系结构对皮肤病变的计算机辅助诊断有很高的贡献。在一组1210张图像上进行的实验得出的特异性为97.25％，灵敏度为91.24％。与其他作品相比，他们的经验评估具有出色的检索和诊断性能。作者介绍了对应于健康和病变皮肤的特征向量的显式组合。

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