TY -的A2 Figueiras Edite AU -马德尔Ulf盟——Quiskamp妮可盟——Wildenhain Soren AU -施密特,托马斯盟——梅斯、彼得盟——Runkel弗兰克盟——Fiebich马丁PY - 2015 DA - 2015/11/16 TI -图像处理方案来检测皮肤浅表真菌感染SP - 851014六世- 2015 AB -浅表真菌感染的发病率是假定为20到全球人口的25%。荧光显微法提取的皮肤样品经常用于感染的快速评估。支持皮肤科医生,科学家发明了一种图像分析方案评估数字显微图像检测真菌菌丝。这项研究的目的是提高诊断质量和缩短time-to-diagnosis。分析,包括预处理、分割、参数化,和分类识别结构,进行数字显微图像。创建测试数据集的菌丝和假阳性对象评估算法。此外,真正的临床图像的性能是研究使用415张图片。结果表明,菌丝的敏感性是94%和89%为单数和集群菌丝,分别。意味着排除假阳性对象率是91%。临床图像的敏感性是83%,特异性是79%。 Although the performance is lower for the clinical images than for the test dataset, a reliable and fast diagnosis can be achieved since it is not crucial to detect every hypha to conclude that a sample consisting of several images is infected. The proposed analysis therefore enables a high diagnostic quality and a fast sample assessment to be achieved. SN - 1748-670X UR - https://doi.org/10.1155/2015/851014 DO - 10.1155/2015/851014 JF - Computational and Mathematical Methods in Medicine PB - Hindawi Publishing Corporation KW - ER -