Unsupervised border detection in dermoscopy images
Unsupervised border detection in dermoscopy images
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DOI：
10.1111/j.1600-0846.2007.00251.x
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发表时间：
2007-11-01
影响因子：
2.2
通讯作者：
Chen, Xiaohe
中科院分区：
文献类型：
--
作者：
Celebi, M. Emre;Aslandogan, Y. Alp;Chen, Xiaohe
背景资料：由于皮肤成像技术的进步和合适的图像处理技术的发展，在过去十年中，对皮肤癌的计算机辅助诊断的兴趣显著增加。自动边界检测是在这个过程中最重要的步骤之一，后续步骤的准确性至关重要地取决于这一步的准确性。方法：在这篇文章中，我们提出了一种无监督的方法，在皮肤镜皮肤病变图像的边缘检测的基础上的JSEG算法的修改版本。结果：该方法进行了测试的一组100皮肤镜图像。边界检测误差通过使用来自皮肤科医生的手动确定的边界作为基础事实的度量来量化。与其他三个自动化的方法和手动确定的边界由第二皮肤科医生的结果进行比较：结果表明，该方法实现了快速和准确的边界检测皮肤镜图像。
Background: As a result of the advances in skin imaging technology and the development of suitable image processing techniques, during the last decade, there has been a significant increase of interest in the computer-aided diagnosis of skin cancer. Automated border detection is one of the most important steps in this procedure as the accuracy of the subsequent steps crucially depends on the accuracy of this step.Methods: In this article, we present an unsupervised approach to border detection in dermoscopy skin lesion images based on a modified version of the JSEG algorithm.Results: The method is tested on a set of 100 dermoscopy images. The border detection error is quantified by a metric that uses manually determined borders from a dermatologist as the ground truth. The results are compared with three other automated methods and manually determined borders by a second dermatologist.Conclusion: The results demonstrate that the presented method achieves both fast and accurate border detection in dermoscopy images.