Parametric Analysis of Acral Lesions on Dermoscopy

摘要：

A half of melanomas in non-white populations are from acral volar area and an appearance of these lesions is completely different from that of other parts of lesions.However, no research for classifying these lesions has been conducted. In this paper,we describe a diagnosis classifier of acral volar melanomas.We used our dermatologist-like tumor area extraction algorithm and extracted a total of 428 features from 199 acral dermoscopic images (169 nevi and 30 melanomas)and built a linear classifier.Our classifier selected 17 features and achieved a sensitivity of 90.0％,a specificity of 92.3％ and an area under the ROC curve (AUC)value of 0.944 using a leave-one-out cross-validation strategy.

作者: Hitoshi Iyatomi Hiroshi Oka Masaru Tanaka Koichi Ogawa

作者单位: Department of Electrical Informatics,Hosei University Faculty of Engineering (Tokyo,JAPAN) Department of Info.&Comput.Sci.,Keio University Faculty of Science and Technology (Yokohama,JAPAN) Department of Dermatology,Tokyo Womens Medical University Medical Center East (Tokyo,JAPAN)

会议类型: 国际会议

会议名称: 2007 IEEE/ICME International Conference on Complex Medical Engineering-CME2007(CME2007 第二届国际复合医学工程学术大会)

会议地点: 北京

会议语种:英文

页码: 337-340

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）