29 March 2016 Hyperspectral imaging of neoplastic progression in a mouse model of oral carcinogenesis
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Abstract
Hyperspectral imaging (HSI) is an emerging modality for medical applications and holds great potential for noninvasive early detection of cancer. It has been reported that early cancer detection can improve the survival and quality of life of head and neck cancer patients. In this paper, we explored the possibility of differentiating between premalignant lesions and healthy tongue tissue using hyperspectral imaging in a chemical induced oral cancer animal model. We proposed a novel classification algorithm for cancer detection using hyperspectral images. The method detected the dysplastic tissue with an average area under the curve (AUC) of 0.89. The hyperspectral imaging and classification technique may provide a new tool for oral cancer detection.
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Guolan Lu, Guolan Lu, Xulei Qin, Xulei Qin, Dongsheng Wang, Dongsheng Wang, Susan Muller, Susan Muller, Hongzheng Zhang, Hongzheng Zhang, Amy Chen, Amy Chen, Zhuo Georgia Chen, Zhuo Georgia Chen, Baowei Fei, Baowei Fei, "Hyperspectral imaging of neoplastic progression in a mouse model of oral carcinogenesis", Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 978812 (29 March 2016); doi: 10.1117/12.2216553; https://doi.org/10.1117/12.2216553
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