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在皮肤镜下黑素细胞病变图像中对颜色进行计算机描述以重现临床评估。

Computer description of colours in dermoscopic melanocytic lesion images reproducing clinical assessment.

作者信息

Seidenari S, Pellacani G, Grana C

机构信息

Departments of Dermatology and Computer Engineering, University of Modena and Reggio Emilia, 41100 Modena, Italy.

出版信息

Br J Dermatol. 2003 Sep;149(3):523-9. doi: 10.1046/j.1365-2133.2003.05496.x.

Abstract

BACKGROUND

The assessment of colours is essential for the diagnosis of malignant melanoma (MM), both for pattern analysis on dermoscopic images, and when employing semiquantitative methods.

OBJECTIVES

To develop a computer program for colour assessment in MM images mimicking the human perception of lesion colours, and to compare the automatic colour evaluation with one performed by human observers.

METHODS

A colour palette comprising six colour groups (black, dark brown, light brown, blue-grey, red and white) was created by selecting single colour components inside melanocytic lesion images acquired by means of a digital videomicroscope, and was implemented in the image analysis program. Subsequently, colours were assessed by the computer program on 331 melanocytic lesion images composing our image database, and the results were compared with the evaluation of lesion colours performed by the clinician.

RESULTS

The black, white and blue-grey colours were more frequently found in MMs than in naevi, both by the clinicians and by the computer. In MM images we observed 4.27 +/- 1.14 colours (mean + or - SD) per lesion, as opposed to 3.22 +/- 0.68 in naevi. The correlation between clinical and computer evaluation of the colours was very good, with a value of 0.781 for overall assessment.

CONCLUSIONS

This innovative method for automatic colour evaluation, reproducing clinical assessment of melanocytic lesion colours, may provide numerical parameters to be employed for computer-aided diagnosis of MM.

摘要

背景

颜色评估对于恶性黑色素瘤(MM)的诊断至关重要,无论是用于皮肤镜图像的模式分析,还是采用半定量方法时。

目的

开发一个用于MM图像颜色评估的计算机程序,模拟人类对病变颜色的感知,并将自动颜色评估与人类观察者进行的评估相比较。

方法

通过选择借助数字视频显微镜获取的黑素细胞病变图像中的单个颜色成分,创建了一个包含六个颜色组(黑色、深棕色、浅棕色、蓝灰色、红色和白色)的调色板,并在图像分析程序中实现。随后,计算机程序对构成我们图像数据库的331张黑素细胞病变图像进行颜色评估,并将结果与临床医生对病变颜色的评估进行比较。

结果

临床医生和计算机都发现,MM中黑色、白色和蓝灰色的出现频率高于痣。在MM图像中,我们观察到每个病变有4.27±1.14种颜色(平均值±标准差),而痣中为3.22±0.68种。颜色的临床评估与计算机评估之间的相关性非常好,总体评估值为0.781。

结论

这种创新的自动颜色评估方法,再现了黑素细胞病变颜色的临床评估,可为MM的计算机辅助诊断提供数值参数。

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