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An image based system to automatically and objectivelly score the degreeof redness and scaling in psoriasi lesions.

机译:基于图像的系统,用于自动且客观地评估牛皮癣病变中的发红和脱屑程度。

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摘要

In this work, a combined statistical and image analysis method to automatically evaluate the severity of scaling in psoriasis lesions is proposed. The method separates the different regions of the disease in the image and scores the degree of scaling based on the properties of these areas. The proposed method provides a solution to one of the present problems in dermatology: the lack of suitable methods to assess the lesion and to evaluate the changes during the treatment. An experiment over a collection of psoriasis images is conducted to test the performance of the method. Results show that the obtained scores are highly correlated with scores made by doctors. This and the fact that the obtained measures are continuous indicate the proposed method is a suitable tool to evaluate the lesion and to track the evolution of dermatological diseases.
机译:在这项工作中,提出了一种组合的统计和图像分析方法来自动评估牛皮癣病变的结垢严重程度。该方法将图像中疾病的不同区域分开,并根据这些区域的属性对缩放程度进行评分。所提出的方法提供了针对皮肤病学当前问题之一的解决方案:缺乏合适的方法来评估病变和评估治疗期间的变化。对银屑病图像的集合进行了实验,以测试该方法的性能。结果表明,获得的分数与医生的分数高度相关。这以及所获得的措施是连续的事实表明,所提出的方法是评估病变和追踪皮肤病发展的合适工具。

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