ALGORITHMS FOR PIGMENTED LESION SCREENING AND DETECTION

相当数量的恶性黑色素瘤，特别是早期可通过切除治愈的黑色素瘤，在临床上没有得到正确的诊断。现有的教学材料不允许识别黑色素瘤的关键特征，特别是对早期病变。第一阶段的数字图像分析工作已经产生了一套临床规则，可以提高早期黑色素瘤诊断的准确性。第二阶段将继续进行数字图像分析，以提高诊断的准确性。黑素瘤检测光盘将为高级医科学生和初级保健医生开发。在正式发布之前，教程将由两个目标组进行测试和修改。光盘将包括一些新的计算机教学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CD-ROM将利用最近可获得的基于图像特征、连续对鉴别和非典型黑色素瘤诊断的诊断性能测量结果。该模块的成功将通过医学生的诊断表现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在第二阶段使用ROC曲线对更大的图像集进行修改和测试。拟议的商业应用：黑素瘤的具体特征将在CD-ROM教程中定量地呈现给医学生和初级保健医生。目前还没有类似的产品，预计销量会很大。半自动诊断系统将有附加潜力的数字皮肤镜系统。

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.