Abstract: Many machine learning technique have been employed for the classification of biological cells based on their Raman spectroscopy.
Many machine learning technique have been employed for the classification of biological cells based on their Raman spectroscopy.
Abstract—Many machine learning technique have been employed for the classification of biological cells based on their Raman spectroscopy.
May 17, 2024 · In this study, we employed machine learning (ML) discrimination of Raman micro-spectroscopic data of myelocytic leukemia cell line HL-60 from ...
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Nov 15, 2023 · Unsupervised classification used Raman spectra to differentiate leukemia cell lines. ... Managò et al. Raman microscopy based sensing of leukemia ...
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Current diagnosis involves identifying leukemia subtypes through visual assessment of blood and bone marrow smears, a subjective and time-consuming method. Our ...
May 31, 2024 · Traditionally, Raman imaging data analysis involves univariate, multivariate, or clustering approaches at the level of individual maps (single ...
classification based on the stage of the cells in leukemia progression also showed similar decline ... also show that supervised classification based on Raman ...
An attention-based deep learning for acute lymphoblastic leukemia ...
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3 days ago · A novel deep learning framework, utilizing the internet of health things (IoHT), has been proposed to precisely identify and categorize cervical ...
Jan 5, 2022 · Here, we adopted Raman spectroscopy and machine learning techniques to simplify and accelerate the process used to distinguish normal from ...
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