Sensors 2012, 12(1), 162-174; doi:10.3390/s120100162
Article

Tongue Tumor Detection in Medical Hyperspectral Images

Received: 30 November 2011; in revised form: 15 December 2011 / Accepted: 22 December 2011 / Published: 23 December 2011
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.

AMA Style

Liu Z, Wang H, Li Q. Tongue Tumor Detection in Medical Hyperspectral Images. Sensors. 2012; 12(1):162-174.

Chicago/Turabian Style

Liu, Zhi; Wang, Hongjun; Li, Qingli. 2012. "Tongue Tumor Detection in Medical Hyperspectral Images." Sensors 12, no. 1: 162-174.

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