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

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
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