Mendonca Teresa, Ferreira Pedro M, Marques Jorge S, Marcal Andre R S, Rozeira Jorge
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:5437-40. doi: 10.1109/EMBC.2013.6610779.
The increasing incidence of melanoma has recently promoted the development of computer-aided diagnosis systems for the classification of dermoscopic images. Unfortunately, the performance of such systems cannot be compared since they are evaluated in different sets of images by their authors and there are no public databases available to perform a fair evaluation of multiple systems. In this paper, a dermoscopic image database, called PH², is presented. The PH² database includes the manual segmentation, the clinical diagnosis, and the identification of several dermoscopic structures, performed by expert dermatologists, in a set of 200 dermoscopic images. The PH² database will be made freely available for research and benchmarking purposes.
黑色素瘤发病率的不断上升,最近推动了用于皮肤镜图像分类的计算机辅助诊断系统的发展。遗憾的是,由于这些系统由其作者在不同的图像集上进行评估,且没有可用于对多个系统进行公平评估的公共数据库,因此无法对它们的性能进行比较。本文介绍了一个名为PH²的皮肤镜图像数据库。PH²数据库包含了一组200张皮肤镜图像的手动分割、临床诊断以及由专业皮肤科医生完成的几种皮肤镜结构的识别。PH²数据库将免费提供用于研究和基准测试目的。