Tongue Tumor Detection in Medical Hyperspectral Images
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 tu...
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Format: | Article |
Language: | English |
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MDPI AG
2011-12-01
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Series: | Sensors |
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Online Access: | http://www.mdpi.com/1424-8220/12/1/162/ |
_version_ | 1798006510871117824 |
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author | Zhi Liu Hongjun Wang Qingli Li |
author_facet | Zhi Liu Hongjun Wang Qingli Li |
author_sort | Zhi Liu |
collection | DOAJ |
description | 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. |
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format | Article |
id | doaj.art-660a8afdba064cf392f88c8ced32b276 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T12:56:03Z |
publishDate | 2011-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-660a8afdba064cf392f88c8ced32b2762022-12-22T04:23:04ZengMDPI AGSensors1424-82202011-12-0112116217410.3390/s120100162Tongue Tumor Detection in Medical Hyperspectral ImagesZhi LiuHongjun WangQingli LiA 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.http://www.mdpi.com/1424-8220/12/1/162/tongue tumor detectionsparse representationmedical hyperspectral imaging |
spellingShingle | Zhi Liu Hongjun Wang Qingli Li Tongue Tumor Detection in Medical Hyperspectral Images Sensors tongue tumor detection sparse representation medical hyperspectral imaging |
title | Tongue Tumor Detection in Medical Hyperspectral Images |
title_full | Tongue Tumor Detection in Medical Hyperspectral Images |
title_fullStr | Tongue Tumor Detection in Medical Hyperspectral Images |
title_full_unstemmed | Tongue Tumor Detection in Medical Hyperspectral Images |
title_short | Tongue Tumor Detection in Medical Hyperspectral Images |
title_sort | tongue tumor detection in medical hyperspectral images |
topic | tongue tumor detection sparse representation medical hyperspectral imaging |
url | http://www.mdpi.com/1424-8220/12/1/162/ |
work_keys_str_mv | AT zhiliu tonguetumordetectioninmedicalhyperspectralimages AT hongjunwang tonguetumordetectioninmedicalhyperspectralimages AT qinglili tonguetumordetectioninmedicalhyperspectralimages |