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Title: Evaluating the use of Hyperspectral Imaging as Complementary Blood Sample Tests
Authors: Fabelo Gómez, Himar Antonio 
León Martín, Sonia Raquel 
Ortega Sarmiento, Samuel 
Balea Fernandez, Francisco Javier 
Clavo Varas, Bernardino 
Marrero Callicó, Gustavo Iván 
Wägner, Anna Maria Claudia 
UNESCO Clasification: 32 Ciencias médicas
3201 Ciencias clínicas
3314 Tecnología médica
Keywords: Blood Tests
Hyperspectral Imaging
Hyperspectral Microscopy
Spectral Biomarkers
Spectral Unmixing
Issue Date: 2021
Project: Watching the risk factors: Artificial intelligence and the prevention of chronic conditions 
Talent Imágenes Hiperespectrales Para Aplicaciones de Inteligencia Artificial 
Journal: Proceedings (Conference on Design of Circuits and Integrated Systems) 
Conference: 36th Conference on Design of Circuits and Integrated Systems - DCIS 2021
Abstract: Many diseases can be diagnosed by blood sample tests using automated analyzers. Novel imaging techniques, like Hyperspectral (HS) Imaging (HSI), are arising as potential tools for this purpose, offering quick and cost-effective approaches. In this paper, a methodology to use HS microscopic data of blood plasma samples to identify potential spectral biomarkers (SBs) and then quantify them in HS macroscopic data is presented. This quantification was performed using spectral unmixing algorithms. Finally, the abundance of each potential SB was correlated with each one of the blood test variable levels with and without removing outliers. Results found several statistically significant correlations (p-value < 0.05) and a highly significant correlation (p-value < 0.01) with the creatinine variable. These preliminary results show the potential of HSI sensors for performing quick and cost-effective blood sample tests.
ISBN: 978-1-6654-2116-4
ISSN: 2640-5563
DOI: 10.1109/DCIS53048.2021.9666164
Source: 36th Conference on Design of Circuits and Integrated Systems, DCIS 2021 [EISSN 2640-5563], (Enero 2021)
Appears in Collections:Actas de congresos
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