title: Tongue tumor detection in medical hyperspectral images.
abstract: A hyperspectral imaging system to measure and analyze the reflectance spectra of the human tongue with high spatial resolution is proposed for tongue tumor detection. To achieve fast and accurate performance for detecting tongue tumors, reflectance data were collected using spectral acousto-optic tunable filters and a spectral adapter, and sparse representation was used for the data analysis algorithm. Based on the tumor image database, a recognition rate of 96.5% was achieved. The experimental results show that hyperspectral imaging for tongue tumor diagnosis, together with the spectroscopic classification method provide a new approach for the noninvasive computer-aided diagnosis of tongue tumors.
authors.affiliation: School of Information Science and Engineering, Shandong University, Jinan 250100, China. liuzhi@sdu.edu.cn
authors.forename: Zhi
authors.initials: Z
authors.lastname: Liu
authors.forename: Hongjun
authors.initials: H
authors.lastname: Wang
authors.forename: Qingli
authors.initials: Q
authors.lastname: Li
mesh_terms: D000465:Algorithms; D003952:Diagnostic Imaging / Q000379:methods*; D005188:False Negative Reactions; D005189:False Positive Reactions; D006801:Humans; D013057:Spectrum Analysis / Q000379:methods*; D013997:Time Factors; D014062:Tongue Neoplasms / Q000175:diagnosis*