Green A, Martin N, McKenzie G, Pfitzner J, Quintarelli F, Thomas B W, O'Rourke M, Knight N
Epidemiology Unit, Queensland Institute of Medical Research, Herston, Brisbane, Australia.
Melanoma Res. 1991 Nov-Dec;1(4):231-6. doi: 10.1097/00008390-199111000-00002.
To assist in the distinction of melanoma from benign pigmented lesions, an imaging system was developed, comprising a frame grabber, a microcomputer, a colour video camera and flash lighting with red, green and infrared filters. Over an 18-month period, video images of 70 unselected pigmented lesions for which complete diagnostic data were available, were successfully captured using the camera. Analysis software extracted features relevant to the size, colour, shape and boundary of each lesion, and these features were correlated with clinical and histological characteristics on which standard diagnoses of skin tumours are based. For discriminant analysis based on image analysis measurements, equal probabilities were assigned to three specified diagnostic groups, namely melanoma, naevi and 'other', and four of five melanomas were correctly classified when infrared data were included. However when infrared measurements were omitted, all five melanomas were correctly classified, and the overall accuracy of classification of pigmented lesions was 71%. This system holds promise as an aid in the clinical distinction of melanoma from benign pigmented skin lesions.
为了协助鉴别黑色素瘤与良性色素沉着病变，开发了一种成像系统，该系统包括图像采集卡、微型计算机、彩色摄像机以及带有红色、绿色和红外滤光片的闪光灯。在18个月的时间里，使用该摄像机成功采集了70个未选定的色素沉着病变的视频图像，这些病变均有完整的诊断数据。分析软件提取了与每个病变的大小、颜色、形状和边界相关的特征，并且这些特征与作为皮肤肿瘤标准诊断依据的临床和组织学特征相关联。对于基于图像分析测量的判别分析，将相等的概率分配给三个指定的诊断组，即黑色素瘤、痣和“其他”，当纳入红外数据时，五分之四的黑色素瘤被正确分类。然而，当省略红外测量时，所有五个黑色素瘤都被正确分类，色素沉着病变分类的总体准确率为71%。该系统有望成为临床上鉴别黑色素瘤与良性色素沉着性皮肤病变的辅助工具。
