title: Superpixel-based spectral classification for the detection of head and neck cancer with hyperspectral imaging.
abstract: Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications. HSI acquires two dimensional images at various wavelengths. The combination of both spectral and spatial information provides quantitative information for cancer detection and diagnosis. This paper proposes using superpixels, principal component analysis (PCA), and support vector machine (SVM) to distinguish regions of tumor from healthy tissue. The classification method uses 2 principal components decomposed from hyperspectral images and obtains an average sensitivity of 93% and an average specificity of 85% for 11 mice. The hyperspectral imaging technology and classification method can have various applications in cancer research and management.
authors.affiliation: The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA.
authors.forename: Hyunkoo
authors.initials: H
authors.lastname: Chung
authors.affiliation: The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA.
authors.forename: Guolan
authors.initials: G
authors.lastname: Lu
authors.affiliation: Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA.
authors.forename: Zhiqiang
authors.initials: Z
authors.lastname: Tian
authors.affiliation: Department of Hematology and Medical Oncology, Emory University, Atlanta, GA.
authors.forename: Dongsheng
authors.initials: D
authors.lastname: Wang
authors.affiliation: Department of Hematology and Medical Oncology, Emory University, Atlanta, GA.
authors.forename: Zhuo Georgia
authors.initials: ZG
authors.lastname: Chen
authors.affiliation: The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA; Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA; Department of Mathematics Computer Science, Emory University, Atlanta, GA; Winship Cancer Institute of Emory University, Atlanta, GA.
authors.forename: Baowei
authors.initials: B
authors.lastname: Fei
keywords: Feature Extraction; Head and neck cancer; Hyperspectral Imaging; Image classification; Principal Component Analysis (PCA); Superpixels; Support vector machine (SVM)