Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging

Guolan Lu; Luma V. Halig; Dongsheng Wang; Xulei Qin; Zhuo Georgia Chen; Baowei Fei

doi:10.1117/1.JBO.19.10.106004

2 October 2014 Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging

Guolan Lu; Luma V. Halig; Dongsheng Wang; Xulei Qin; Zhuo Georgia Chen; Baowei Fei

Author Affiliations +

J. of Biomedical Optics, 19(10), 106004 (2014). https://doi.org/10.1117/1.JBO.19.10.106004

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

Citation Download Citation

Guolan Lu, Guolan Lu, Luma V. Halig, Luma V. Halig, Dongsheng Wang, Dongsheng Wang, Xulei Qin, Xulei Qin, Zhuo Georgia Chen, Zhuo Georgia Chen, Baowei Fei, Baowei Fei, } "Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging," Journal of Biomedical Optics 19(10), 106004 (2 October 2014). https://doi.org/10.1117/1.JBO.19.10.106004 . Submission:

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $20.00

Non-members: $25.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years