Optimization of machine learning classification models for tumor cells based on cell elements heterogeneity with laser-induced breakdown spectroscopy

The rapid and accurate diagnosis of cancer is an important topic in clinical medicine. In the present work, an innovative method based on laser-induced breakdown spectroscopy (LIBS) combined with machine learning was developed to distinguish and classify different tumor cell lines. The LIBS spectra...

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Bibliographic Details

Published in:	Journal of biophotonics Vol. 16, № 11. P. e202300239 (1-8)
Other Authors:	Wang, Yimeng, Huang, Da, Shu, Kaiqiang, Xu, Yingtong, Duan, Yixiang, Fan, Qingwen, Lin, Qingyu, Tuchin, Valery V.
Format:	Article
Language:	English
Subjects:	распознавание раковых клеток химические элементы машинное обучение опухолевые клетки спектроскопия лазерно-индуцированного разрушения статьи в журналах
Online Access:	http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001017685