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Journal of Biomedical Optics

Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging
Author(s): Guolan Lu; Luma V. Halig; Dongsheng Wang; Xulei Qin; Zhuo Georgia Chen; Baowei Fei
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Paper Abstract

Early detection of malignant lesions could improve both survival and quality of life of cancer patients. Hyperspectral imaging (HSI) has emerged as a powerful tool for noninvasive cancer detection and diagnosis, with the advantage of avoiding tissue biopsy and providing diagnostic signatures without the need of a contrast agent in real time. We developed a spectral-spatial classification method to distinguish cancer from normal tissue on hyperspectral images. We acquire hyperspectral reflectance images from 450 to 900 nm with a 2-nm increment from tumor-bearing mice. In our animal experiments, the HSI and classification method achieved a sensitivity of 93.7% and a specificity of 91.3%. The preliminary study demonstrated that HSI has the potential to be applied <italic<in vivo</italic< for noninvasive detection of tumors.

Paper Details

Date Published: 2 October 2014
PDF: 18 pages
J. Biomed. Opt. 19(10) 106004 doi: 10.1117/1.JBO.19.10.106004
Published in: Journal of Biomedical Optics Volume 19, Issue 10
Show Author Affiliations
Guolan Lu, Georgia Institute of Technology (United States)
Luma V. Halig, Emory Univ. School of Medicine (United States)
Dongsheng Wang, Emory Univ. School of Medicine (United States)
Xulei Qin, Emory Univ. School of Medicine (United States)
Zhuo Georgia Chen, Emory Univ. School of Medicine (United States)
Baowei Fei, Georgia Institute of Technology (United States)
Emory Univ. School of Medicine (United States)
Emory Univ. (United States)


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