Ortega Samuel, Fabelo Himar, Camacho Rafael, de la Luz Plaza María, Callicó Gustavo M, Sarmiento Roberto
Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Campus de Tafira, 35017, Las Palmas de Gran Canaria, Las Palmas, Spain.
Department of Pathological Anatomy, University Hospital Dr. Negrín, Las Palmas de Gran Canaria. Barranco de la Ballena, 35010, Las Palmas de Gran Canaria, Las Palmas, Spain.
Biomed Opt Express. 2018 Jan 25;9(2):818-831. doi: 10.1364/BOE.9.000818. eCollection 2018 Feb 1.
Hyperspectral imaging (HSI) is an emerging technology for medical diagnosis. This research work presents a proof-of-concept on the use of HSI data to automatically detect human brain tumor tissue in pathological slides. The samples, consisting of hyperspectral cubes collected from 400 nm to 1000 nm, were acquired from ten different patients diagnosed with high-grade glioma. Based on the diagnosis provided by pathologists, a spectral library of normal and tumor tissues was created and processed using three different supervised classification algorithms. Results prove that HSI is a suitable technique to automatically detect high-grade tumors from pathological slides.
高光谱成像（HSI）是一种用于医学诊断的新兴技术。这项研究工作展示了一个概念验证，即利用高光谱成像数据在病理切片中自动检测人脑肿瘤组织。样本由从400纳米到1000纳米收集的高光谱立方体组成，取自十名被诊断为高级别胶质瘤的不同患者。基于病理学家提供的诊断结果，创建了正常组织和肿瘤组织的光谱库，并使用三种不同的监督分类算法进行处理。结果证明，高光谱成像是一种从病理切片中自动检测高级别肿瘤的合适技术。
