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Tongue Tumor Detection in Medical Hyperspectral Images
School of Information Science and Engineering, Shandong University, Jinan 250100, China
School of Information Science and Technology, East China Normal University, Shanghai 200062, China
* Author to whom correspondence should be addressed.
Received: 30 November 2011; in revised form: 15 December 2011 / Accepted: 22 December 2011 / Published: 23 December 2011
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.
Keywords: tongue tumor detection; sparse representation; medical hyperspectral imaging
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MDPI and ACS Style
Liu, Z.; Wang, H.; Li, Q. Tongue Tumor Detection in Medical Hyperspectral Images. Sensors 2012, 12, 162-174.
Liu Z, Wang H, Li Q. Tongue Tumor Detection in Medical Hyperspectral Images. Sensors. 2012; 12(1):162-174.
Liu, Zhi; Wang, Hongjun; Li, Qingli. 2012. "Tongue Tumor Detection in Medical Hyperspectral Images." Sensors 12, no. 1: 162-174.