• Laser & Optoelectronics Progress
  • Vol. 60, Issue 2, 0230001 (2023)
Jinyang Liu1, Mingxin Yu1,*, Shengnan Ji2, Lianqing Zhu1..., Tao Zhang1, Jingya Ding1 and Jiabin Xia1|Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Optoelectronic Measurement Technology and Instrument, Ministry of Education, School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science & Technology University, Beijing 100192, China
  • 2China North Chemical Research Academy Group Co., Ltd., Beijing 100089, China
  • show less
    DOI: 10.3788/LOP212701 Cite this Article Set citation alerts
    Jinyang Liu, Mingxin Yu, Shengnan Ji, Lianqing Zhu, Tao Zhang, Jingya Ding, Jiabin Xia. Raman Spectral Segmentation Method for Tongue Squamous Cell Carcinoma Using Deep Learning[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0230001 Copy Citation Text show less
    References

    [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).

    Jinyang Liu, Mingxin Yu, Shengnan Ji, Lianqing Zhu, Tao Zhang, Jingya Ding, Jiabin Xia. Raman Spectral Segmentation Method for Tongue Squamous Cell Carcinoma Using Deep Learning[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0230001
    Download Citation