2 October 2014 Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging
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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
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
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:

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