Leon Raquel, Martinez-Vega Beatriz, Fabelo Himar, Ortega Samuel, Melian Veronica, Castaño Irene, Carretero Gregorio, Almeida Pablo, Garcia Aday, Quevedo Eduardo, Hernandez Javier A, Clavo Bernardino, M Callico Gustavo
Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), 35017 Las Palmas de Gran Canaria, Spain.
Department of Dermatology, Hospital Universitario de Gran Canaria Doctor Negrín, Barranco de la Ballena s/n, 35010 Las Palmas de Gran Canaria, Spain.
J Clin Med. 2020 Jun 1;9(6):1662. doi: 10.3390/jcm9061662.
Skin cancer is one of the most common forms of cancer worldwide and its early detection its key to achieve an effective treatment of the lesion. Commonly, skin cancer diagnosis is based on dermatologist expertise and pathological assessment of biopsies. Although there are diagnosis aid systems based on morphological processing algorithms using conventional imaging, currently, these systems have reached their limit and are not able to outperform dermatologists. In this sense, hyperspectral (HS) imaging (HSI) arises as a new non-invasive technology able to facilitate the detection and classification of pigmented skin lesions (PSLs), employing the spectral properties of the captured sample within and beyond the human eye capabilities. This paper presents a research carried out to develop a dermatological acquisition system based on HSI, employing 125 spectral bands captured between 450 and 950 nm. A database composed of 76 HS PSL images from 61 patients was obtained and labeled and classified into benign and malignant classes. A processing framework is proposed for the automatic identification and classification of the PSL based on a combination of unsupervised and supervised algorithms. Sensitivity and specificity results of 87.5% and 100%, respectively, were obtained in the discrimination of malignant and benign PSLs. This preliminary study demonstrates, as a proof-of-concept, the potential of HSI technology to assist dermatologists in the discrimination of benign and malignant PSLs during clinical routine practice using a real-time and non-invasive hand-held device.
皮肤癌是全球最常见的癌症形式之一，早期检测是有效治疗该病变的关键。通常，皮肤癌的诊断基于皮肤科医生的专业知识和活检的病理评估。尽管存在基于使用传统成像的形态学处理算法的诊断辅助系统，但目前这些系统已达到其极限，无法超越皮肤科医生。从这个意义上说，高光谱（HS）成像（HSI）作为一种新的非侵入性技术应运而生，它能够利用捕获样本的光谱特性，在人眼能力范围内外促进色素沉着性皮肤病变（PSL）的检测和分类。本文介绍了一项基于HSI开发皮肤科采集系统的研究，该系统采用在450至950nm之间捕获的125个光谱带。获得了一个由61名患者的76张HS PSL图像组成的数据库，并将其标记和分类为良性和恶性类别。提出了一个基于无监督和监督算法相结合的PSL自动识别和分类处理框架。在区分恶性和良性PSL时，敏感性和特异性结果分别为87.5%和100%。这项初步研究作为概念验证，证明了HSI技术在临床常规实践中使用实时非侵入性手持设备协助皮肤科医生区分良性和恶性PSL的潜力。
