2 October 2014 Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging
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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
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Guolan Lu, Luma V. Halig, Dongsheng Wang, Xulei Qin, Zhuo Georgia Chen, 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
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