Design of optical sensor for cancer prognosis prediction using artificial intelligence-Reference-Cited by-同舟云学术

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Design of optical sensor for cancer prognosis prediction using artificial intelligence

Published:2023-07-11 Issue: Volume: Page:
ISSN:0972-8821
Container-title:Journal of Optics
language:en
Short-container-title:J Opt

Author:

Pathak Ranjeet Kumar,Mishra Sumita,Sharan Preeta^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Atomic and Molecular Physics, and Optics

Link

https://link.springer.com/content/pdf/10.1007/s12596-023-01281-z.pdf

Reference24 articles.

1. A. Panda, P.P. Devi, Optical fiber technology photonic crystal biosensor for refractive index based cancerous cell detection. Opt. Fiber Technol. 54, 102123 (2020). https://doi.org/10.1016/j.yofte.2019.102123

2. L.Á. Menéndez, F.J.D.C. Juez, F.S. Lasheras, J.A.Á. Riesgo, Artificial neural networks applied to cancer detection in a breast screening programme. Math. Comput. Model. 52(7–8), 983–991 (2010). https://doi.org/10.1016/j.mcm.2010.03.019

3. J. Guck et al., Optical deformability as an inherent cell marker for testing malignant transformation and metastatic competence. Biophys. J. 88, 3689–3698 (2005). https://doi.org/10.1529/biophysj.104.045476

4. S. Suresh, Biomechanics and biophysics of cancer cells. Nano Convergence 3, 413–438 (2007). https://doi.org/10.1016/j.actbio.2007.04.002

5. W. Park, Optical interactions in plasmonic nanostructures. Nano Converg. 1(1), 1–27 (2014). https://doi.org/10.1186/s40580-014-0002-x

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