Quantitative assessment of the generalizability of a brain tumor Raman spectroscopy machine learning model to various tumor types including astrocytoma and oligodendroglioma

Frédéric Leblond, Frédérick Dallaire, Katherine Ember, Alice Le Moël, Victor Blanquez-Yeste, Hugo Tavera, Guillaume Sheehy, Tran Trang, Marie-Christine Guiot, Alexander G. Weil, Roy Dudley, Costas G. Hadjipanayis and Kevin Petrecca

Article (2025)

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Department:	Department of Engineering Physics
PolyPublie URL:	https://publications.polymtl.ca/62513/
Journal Title:	Journal of Biomedical Optics (vol. 30, no. 01)
Publisher:	SPIE
DOI:	10.1117/1.jbo.30.1.010501
Official URL:	https://doi.org/10.1117/1.jbo.30.1.010501
Date Deposited:	27 Jan 2025 14:21
Last Modified:	11 Apr 2025 01:50

Cite in APA 7:

Leblond, F., Dallaire, F., Ember, K., Le Moël, A., Blanquez-Yeste, V., Tavera, H., Sheehy, G., Trang, T., Guiot, M.-C., Weil, A. G., Dudley, R., Hadjipanayis, C. G., & Petrecca, K. (2025). Quantitative assessment of the generalizability of a brain tumor Raman spectroscopy machine learning model to various tumor types including astrocytoma and oligodendroglioma. Journal of Biomedical Optics, 30(01), 010501 (7 pages). https://doi.org/10.1117/1.jbo.30.1.010501

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