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A relative color approach to color discrimination for malignant melanoma detection in dermoscopy images.

机译:皮肤镜检查图像中恶性黑色素瘤检测的一种相对颜色判别颜色方法。

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摘要

Background: Skin lesion color is an important feature for diagnosing malignant melanoma. In previous research, skin lesion color was investigated for discriminating malignant melanoma lesions from benign lesions in clinical images. Colors characteristics of melanoma were determined using color histogram analysis over a training set of images. Percent melanoma color and color clustering ratio features were used to quantify the presence of melanoma-colored pixels within skin lesions for skin lesion discrimination. Methods: In this research, the relative color histogram analysis technique is used to evaluate skin lesion discrimination based on color feature calculations in different regions of the skin lesion in dermoscopy images. The histogram analysis technique is examined for varying training set sizes from the set of 113 malignant melanomas and 113 benign dysplastic nevi images. Results: Experimental results show improved discrimination capability for feature calculations focused in the interior lesion region. Recognition rates for malignant melanoma and dysplastic nevi as high as 87.7% and 74.9%, respectively, are observed for the color clustering ratio computed using the outer 75% uniformly distributed area with a 10% offset within the boundary. Conclusions: Experimental results appear to indicate that the melanoma color feature information is located in the interior of the lesion, excluding the 10% central-most region. The techniques presented here including the use of relative color and the determination of benign and malignant regions of the relative color histogram may be applicable to any set of images of benign and malignant lesions.
机译:背景:皮肤病变颜色是诊断恶性黑色素瘤的重要特征。在先前的研究中,对皮肤病变颜色进行了研究,以从临床图像中区分恶性黑色素瘤病变与良性病变。黑色素瘤的颜色特征是使用彩色直方图分析在一组训练图像上确定的。黑色素瘤颜色百分比和颜色聚类比率特征用于量化皮肤损伤内黑色素瘤颜色像素的存在,以区分皮肤病变。方法:在这项研究中,相对色直方图分析技术用于基于皮肤镜图像中皮肤病变不同区域的颜色特征计算来评估皮肤病变的鉴别能力。从113个恶性黑色素瘤和113个良性异常增生痣图像中检查了直方图分析技术的变化训练集大小。结果:实验结果表明,针对内部病变区域进行特征计算的辨别能力得到了改善。使用外部75%均匀分布的区域(边界内偏移10%)计算得出的颜色聚类比率,观察到的恶性黑色素瘤和增生痣的识别率分别高达87.7%和74.9%。结论:实验结果似乎表明黑色素瘤的颜色特征信息位于病变的内部,不包括最中央的10%区域。这里介绍的技术包括使用相对颜色以及确定相对颜色直方图的良性和恶性区域,可适用于任何一组良性和恶性病变的图像。

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