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首页> 外文会议>18th International Conference on Information Processing in Medical Imaging IPMI 2003 Jul 20-25, 2003 Ambleside, UK >CAD Tool for Burn Diagnosis
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CAD Tool for Burn Diagnosis

机译：诊断烧伤的CAD工具

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摘要

In this paper a new system for burn diagnosis is proposed. The aim of the system is to separate burn wounds from healthy skin, and the different types of burns (burn depths) from each other, identifying each one. The system is based on the colour and texture information, as these are the characteristics observed by physicians in order to give a diagnosis. We use a perceptually uniform colour space (L~* u~* v~* ), since Euclidean distances calculated in this space correspond to perceptually colour differences. After the burn is segmented, some colour and texture descriptors are calculated and they are the inputs to a Fuzzy-ARTMAP neural network. The neural network classifies them into three types of burns: superficial dermal, deep dermal and full thickness. Clinical effectiveness of the method was demonstrated on 62 clinical burn wound images obtained from digital colour photographs, yielding an average classification success rate of 82 % compared to expert classified images.
机译：本文提出了一种新的烧伤诊断系统。该系统的目的是将烧伤创面与健康皮肤分开，并将不同类型的烧伤（烧伤深度）彼此区分开，从而相互识别。该系统基于颜色和纹理信息，因为这些是医生为了进行诊断而观察到的特征。由于在此空间中计算出的欧几里得距离与感知上的色差相对应，因此我们使用了感知上均匀的颜色空间（L〜* u〜* v〜*）。分割燃烧后，将计算一些颜色和纹理描述符，它们是Fuzzy-ARTMAP神经网络的输入。神经网络将它们分为三类烧伤：浅表皮，深层皮和全层。从数字彩色照片获得的62个临床烧伤创面图像上证明了该方法的临床有效性，与专家分类图像相比，平均分类成功率达82％。

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