ALGORITHMS FOR PIGMENTED LESION SCREENING AND DETECTION

相当数量的恶性黑色素瘤，特别是早期黑色素瘤可以通过切除治愈，在临床上没有得到正确的诊断。现有的教材不允许认识黑色素瘤的关键特征，特别是对于早期皮损。第一阶段的数字图像分析工作已经产生了一套临床规则，可能允许在早期黑色素瘤的诊断中获得更高的准确性。第二阶段将继续进行数字图像分析，以提高诊断准确率。黑色素瘤检测光盘将为高级医学生和初级保健医生开发。在正式发布之前，本教程将由两个目标群体进行测试和修改。该光盘将采用一些新的计算机指令技术和具有描述符和缩略图索引能力的地图集，以便进行“最佳匹配”查找。这张光盘将利用最近才有的基于图像特征的诊断性能的测量结果，在辨别和诊断非典型黑色素瘤方面的连续配对。该模块的成功将使用医学生的诊断表现和幻灯片和初级保健临床结果来衡量。第一阶段的半自动分类系统将进行修改，并使用ROC曲线在第二阶段可用的更大图像集上进行测试。建议的商业应用：黑色素瘤的特定特征将在CD-ROM教程中定量地呈现给医学生和初级保健医生。不存在类似的产品，预计销量会很大。这种半自动诊断系统将为数字皮肤镜系统带来附加潜力。

A significant number of malignant melanomas, especially early melanomas curable by excision, are not diagnosed correctly in the clinic. Available teaching materials do not allow recognition of the critical features of melanoma, especially for early lesions. The Phase I digital image analysis effort has resulted in a set of clinical rules that may permit higher accuracy in diagnosis of early melanomas. Digital image analysis will be continued in Phase II to improve diagnostic accuracy. The Melanoma Detection CD-ROM will be developed for advanced medical students and primary care physicians. The tutorial will be tested and modified by both target groups prior to general release. The CD-ROM will incorporate some new computer instruction techniques and an atlas with descriptor and thumbnail image indexing capability, to allow "best- match" lookup. This CD-ROM will utilize results available only recently measuring diagnostic performance based on image features, successive pairs in discrimination, and diagnosis of atypical melanomas. The success of the module will be measured using medical student diagnostic performance with slides and primary care clinical outcomes. The semi- automatic classification system from Phase I will be modified and tested on the larger set of images available in Phase II using ROC curves. PROPOSED COMMERCIAL APPLICATIONS: Specific features of melanoma will be presented quantitatively to medical students and primary care physicians in a CD-ROM tutorial. No similar product exists, and sales are expected to be significant. The semi- automated diagnostic system will have add-on potential for digital dermatoscopic systems.