[1] Li S X. Research on early cancer diagnosis method based on Raman spectroscopy[D](2013).

[2] Yu X, Zhang S Y, Olivo M et al. Micro- and nano-fiber probes for optical sensing, imaging, and stimulation in biomedical applications[J]. Photonics Research, 8, 1703-1724(2020).

[3] Ma X R, Cheng H, Hou J W et al. Detection of breast cancer based on novel porous silicon Bragg reflector surface-enhanced Raman spectroscopy-active structure[J]. Chinese Optics Letters, 18, 051701(2020).

[4] Ozeki Y. Molecular vibrational imaging by stimulated Raman scattering microscopy: principles and applications[J]. Chinese Optics Letters, 18, 121702(2020).

[5] Ye Z M. Artificial-intelligence approach for biomedical sample characterization using Raman spectroscopy[J]. IEEE Transactions on Automation Science and Engineering, 2, 67-73(2005).

[6] Zhu M, He M, Shu Y Y. The application of cancer diagnosis by Raman spectroscopy[J]. Chinese Journal of Disease Control & Prevention, 10, 186-189(2006).

[7] Li Y, Wen Z N, Li L J et al. Research on the Raman spectral character and diagnostic value of squamous cell carcinoma of oral mucosa[J]. International Journal of Oral and Maxillofacial Surgery, 38, 425(2009).

[8] Sahu A, Sawant S, Mamgain H et al. Raman spectroscopy of serum: an exploratory study for detection of oral cancers[J]. The Analyst, 138, 4161-4174(2013).

[9] Cals F L J, Schut T C B, Caspers P J et al. Raman spectroscopic analysis of the molecular composition of oral cavity squamous cell carcinoma and healthy tongue tissue[J]. The Analyst, 143, 4090-4102(2018).

[10] Cai R, Yuan Y, Lu X Q. Hyperspectral band selection with convolutional neural network[M]. Lai J H, Liu C L, Chen X L, et al. Pattern recognition and computer vision. Lecture notes in computer science, 11259, 396-408(2018).

[11] Yu M X, Yan H, Xia J B et al. Deep convolutional neural networks for tongue squamous cell carcinoma classification using Raman spectroscopy[J]. Photodiagnosis and Photodynamic Therapy, 26, 430-435(2019).

[12] Ding J Y, Yu M X, Zhu L Q et al. Diverse spectral band-based deep residual network for tongue squamous cell carcinoma classification using fiber optic Raman spectroscopy[J]. Photodiagnosis and Photodynamic Therapy, 32, 102048(2020).

[13] Zhao Q Y, Sun Y H. Progress of Raman spectroscopy in cancer diagnosis of human organization[J]. Practical Oncology Journal, 32, 92-96(2018).

[14] Kerker M, Wang D S, Chew H et al. Enhanced Raman scattering by molecules adsorbed at the surface of colloidal particles[M]. Chang R K, Furtak T E. Surface enhanced Raman scattering, 109-126(1982).

[15] Carvalho L F C S, Bonnier F, O’Callaghan K et al. Raman micro-spectroscopy for rapid screening of oral squamous cell carcinoma[J]. Experimental and Molecular Pathology, 98, 502-509(2015).

[16] Su L, Sun Y F, Chen Y et al. Raman spectral properties of squamous cell carcinoma of oral tissues and cells[J]. Laser Physics, 22, 311-316(2012).

[17] Krishna C M, Sockalingum G D, Kurien J et al. Micro-Raman spectroscopy for optical pathology of oral squamous cell carcinoma[J]. Applied Spectroscopy, 58, 1128-1135(2004).

[18] Guze K, Short M, Zeng H et al. Comparison of molecular images as defined by Raman spectra between normal mucosa and squamous cell carcinoma in the oral cavity[J]. Journal of Raman Spectroscopy, 42, 1232-1239(2011).

[19] Barroso E M, Smits R W H, Bakker Schut T C et al. Discrimination between oral cancer and healthy tissue based on water content determined by Raman spectroscopy[J]. Analytical Chemistry, 87, 2419-2426(2015).

[20] Li Y, Wen Z N, Li L J et al. Near infrared Raman spectral character and diagnostic value of squamous cell carcinoma of oral mucosa[J]. West China Journal of Stomatology, 28, 61-64(2010).