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通过皮肤镜检查中的数字图像分析提高恶性黑色素瘤的早期识别率。

Improving early recognition of malignant melanomas by digital image analysis in dermatoscopy.

作者信息

Horsch A, Stolz W, Neiss A, Abmayr W, Pompl R, Bernklau A, Bunk W, Dersch D R, Glässl A, Schiffner R, Morfill G

机构信息

Department of Medical Statistics, Technical University of Munich, Germany.

出版信息

Stud Health Technol Inform. 1997;43 Pt B:531-5.

Abstract

The malignant melanoma (MM) is the most dangerous human skin disease. The incidence increased dramatically during the last years. The only chance for the patient is an early recognition and excision of the MM. The best diagnostic method for this is skin surface microscopy or dermatoscopy. Its use, however, requires much expertise. In order to support learning and using the method, a computer-based dermatoscopy workstation is being developed. Among others, new complexity measures are used for the image analysis.

摘要

恶性黑色素瘤(MM)是最危险的人类皮肤疾病。在过去几年中,其发病率急剧上升。患者唯一的机会是早期识别并切除MM。对此,最佳诊断方法是皮肤表面显微镜检查或皮肤镜检查。然而,其使用需要很多专业知识。为了支持该方法的学习和使用,正在开发一种基于计算机的皮肤镜检查工作站。其中,新的复杂度测量方法被用于图像分析。

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