论文标题
PAD-FUFES-20：由患者数据和从智能手机收集的临床图像组成的皮肤病变数据集
PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones
论文作者
论文摘要
在过去的几年中，已经提出了不同的计算机辅助诊断（CAD）系统来解决皮肤病变分析。这些系统中的大多数仅适用于皮肤镜检查图像，因为严重缺乏可用于设计它们的公共临床图像。为了填补这一空白，我们发布了由智能手机设备收集的临床图像和一组患者临床数据组成的皮肤病变基准，最多包含22个功能。该数据集由1,373例患者，1,641例皮肤病变和2,298张图像组成，用于六种不同的诊断：三种皮肤病和三种皮肤癌。总共有58.4％的皮肤病变进行了活检，包括100％的皮肤癌。通过释放此基准，我们旨在帮助未来的研究和开发新工具，以帮助临床医生发现皮肤癌。
Over the past few years, different computer-aided diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images since there is a strong lack of public clinical images archive available to design them. To fill this gap, we release a skin lesion benchmark composed of clinical images collected from smartphone devices and a set of patient clinical data containing up to 22 features. The dataset consists of 1,373 patients, 1,641 skin lesions, and 2,298 images for six different diagnostics: three skin diseases and three skin cancers. In total, 58.4% of the skin lesions are biopsy-proven, including 100% of the skin cancers. By releasing this benchmark, we aim to aid future research and the development of new tools to assist clinicians to detect skin cancer.
