title: A Minimum Spanning Forest Based Hyperspectral Image Classification Method for Cancerous Tissue Detection.
abstract: Hyperspectral imaging is a developing modality for cancer detection. The rich information associated with hyperspectral images allow for the examination between cancerous and healthy tissue. This study focuses on a new method that incorporates support vector machines into a minimum spanning forest algorithm for differentiating cancerous tissue from normal tissue. Spectral information was gathered to test the algorithm. Animal experiments were performed and hyperspectral images were acquired from tumor-bearing mice. In vivo imaging experimental results demonstrate the applicability of the proposed classification method for cancer tissue classification on hyperspectral images.
authors.affiliation: Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA.
authors.forename: Robert
authors.initials: R
authors.lastname: Pike
authors.affiliation: Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA.
authors.forename: Samuel K
authors.initials: SK
authors.lastname: Patton
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: Luma V
authors.initials: LV
authors.lastname: Halig
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: Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA ; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and 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: Hyperspectral imaging; image classification; minimum spanning forest; support vector machine