Detection of basal cell carcinoma using color and histogram measures of semitranslucent areas
Detection of basal cell carcinoma using color and histogram measures of semitranslucent areas
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DOI：
10.1111/j.1600-0846.2009.00354.x
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发表时间：
2009-08-01
影响因子：
2.2
通讯作者：
Kolm, Isabel
中科院分区：
文献类型：
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作者：
Stoecker, William V.;Gupta, Kapil;Kolm, Isabel
背景半透明，定义为具有变化的、接近肤色颜色的光滑、果冻状区域，可以高度特异性地指示基底细胞癌（BCC）的诊断。本研究试图通过直方图衍生的纹理和颜色测量来分析半透明的潜在区域，以区分基底细胞癌和非基底细胞癌皮肤病变中的非半透明区域。方法对于 210 个皮肤镜检查图像，手动选择 42 个基底细胞癌中的半透明区域和 168 个非基底细胞癌中的平滑度和颜色相当的区域。将六种颜色测量和六种纹理测量应用于 BCC 的半透明区域和非 BCC 图像中的可比区域。结果接受者操作特征 (ROC) 曲线分析表明，单独的纹理测量比单独的颜色测量能更好地将 BCC 与非 BCC 区分开来。统计分析表明，半透明度的四个最重要的度量是三个直方图度量：对比度、平滑度和熵，以及一种颜色度量：蓝色色度。平滑度是最重要的一个衡量标准。根据 ROC 曲线下面积，结合 12 种测量方法，诊断准确率达到 95.05%。结论纹理和颜色分析测量，尤其是平滑度，可以自动检测半透明的 BCC 图像。
BackgroundSemitranslucency, defined as a smooth, jelly-like area with varied, near-skin-tone color, can indicate a diagnosis of basal cell carcinoma (BCC) with high specificity. This study sought to analyze potential areas of semitranslucency with histogram-derived texture and color measures to discriminate BCC from non-semitranslucent areas in non-BCC skin lesions.MethodsFor 210 dermoscopy images, the areas of semitranslucency in 42 BCCs and comparable areas of smoothness and color in 168 non-BCCs were selected manually. Six color measures and six texture measures were applied to the semitranslucent areas of the BCC and the comparable areas in the non-BCC images.ResultsReceiver operating characteristic (ROC) curve analysis showed that the texture measures alone provided greater separation of BCC from non-BCC than the color measures alone. Statistical analysis showed that the four most important measures of semitranslucency are three histogram measures: contrast, smoothness, and entropy, and one color measure: blue chromaticity. Smoothness is the single most important measure. The combined 12 measures achieved a diagnostic accuracy of 95.05% based on area under the ROC curve.ConclusionTexture and color analysis measures, especially smoothness, may afford automatic detection of BCC images with semitranslucency.