Automatic Detection of Critical Dermoscopy Features for Melanoma Diagnosis

自动检测黑色素瘤诊断的关键皮肤镜特征

• 批准号: 7163231
• 负责人: WILLIAM V STOECKER
• 金额: $ 50.48万
• 依托单位: STOECKER & ASSOCIATES
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-23 至 2008-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7163231
• 关键词: clinical research; diagnosis; melanoma; skin

DESCRIPTION (provided by applicant): Malignant melanoma, with an estimated growth in incidence of about 6% per year for decades, causes considerable loss of life. Yet melanoma can be easily cured if detected early. Digital dermoscopy has shown promise for more accurate detection, particularly at an early stage. Recent conferences have highlighted a general agreement on definition of dermoscopic features and moderate agreement on the most useful structural features. Automatic detection of these specific structures that are critical for early diagnosis and are used in various dermoscopic diagnostic algorithms would be desirable. Yet little work has been published on automatic detection of any specific dermoscopic structures. Although specific colors figure prominently in the definition of the most critical dermoscopic structures, little work has been done on finding the specific regions or region combinations in the color space where colors are located, particularly with reference to the surrounding skin. The work in Phase I and after Phase I successfully segmented the border within 5% of the range of the dermatologists' borders, found several highly accurate dermoscopy features, and brought mean diagnostic accuracy on difficult early lesions to a high level. This proposal seeks to develop a digital dermosocopy system by 1) comparing classifiers 2) testing border accuracy and modifying segmentation if needed 3) developing an algorithm that uses a three-dimensional representation of a probability density function to specify single and paired melanoma colors via cluster methods and fuzzy logic techniques 4) identifying critical structural features including brown globules, abrupt border cutoff, granularity, regression, and pigment asymmetry with high accuracy 5) developing a clinical interface for acquisition of images within the clinic 6) testing the new algorithms in six dermatology clinics including two pigmented lesion clinics with both EpiLight and DermLite II Pro dermoscopy images taken in the clinic. Key features of the research include dermatopathology confirmation of specific structures and the use of relative color analysis. If successful, software will be marketed to the growing number of dermatologists with digital dermoscopy capability. The commercial software package will be ready for marketing as a diagnostic adjunct for digital camera dermoscopy attachments. Malignant melanoma, with an estimated growth in incidence of about 6% per year for decades, causes considerable loss of life. Melanoma can be easily cured if detected early, and this project seeks to develop a digital dermoscopy device that can detect very early melanomas. The project goal is to develop inexpensive melanoma detection software and test it in multiple dermatology clinics.

描述（由申请人提供）：恶性黑色素瘤，几十年来估计发病率每年增长约6%，造成相当大的生命损失。然而，如果早期发现，黑色素瘤很容易治愈。数字皮肤镜已显示出更准确检测的前景，特别是在早期阶段。最近的会议强调了对皮肤镜特征的定义的普遍一致性和对最有用的结构特征的适度一致性。自动检测对于早期诊断至关重要并且用于各种皮肤镜诊断算法的这些特定结构将是期望的。然而，很少有工作已发表的任何特定的皮肤镜结构的自动检测。虽然特定的颜色在最关键的皮肤镜结构的定义中占据突出地位，但是在颜色所处的颜色空间中找到特定区域或区域组合的工作很少，特别是参考周围皮肤。第一阶段和第一阶段之后的工作成功地分割了皮肤科医生边界范围的5%内的边界，发现了几个高度准确的皮肤镜特征，并将困难的早期病变的平均诊断准确性提高到了一个很高的水平。该提案寻求通过以下方式开发数字皮肤镜系统：1）比较分类器2）测试边界准确性并在需要时修改分割3）开发使用概率密度函数的三维表示的算法，以经由聚类方法和模糊逻辑技术指定单个和成对的黑素瘤颜色4）识别关键结构特征，包括棕色小球、突然边界截止、粒度，回归和色素不对称的高精度5）开发用于在诊所内采集图像的临床界面6）在六个皮肤科诊所中测试新算法，包括两个色素性病变诊所，使用在诊所拍摄的EpiLight和DermLite II Pro皮肤镜图像。该研究的主要特点包括特定结构的皮肤病理学确认和相对颜色分析的使用。如果成功，软件将销售给越来越多的皮肤科医生与数字皮肤镜的能力。商业软件包将作为数码相机皮肤镜附件的诊断辅助工具准备上市。恶性黑色素瘤，几十年来估计发病率每年增长约6%，造成相当大的生命损失。黑色素瘤可以很容易地治愈，如果早期发现，这个项目旨在开发一个数字皮肤镜设备，可以检测非常早期的黑色素瘤。该项目的目标是开发廉价的黑色素瘤检测软件，并在多个皮肤科诊所进行测试。