IEEE Transactions on Medical Imaging, volume 40, issue 4, pages 1207-1216

Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning

Dremin Viktor 1, 2
Marcinkevics Zbignevs 3
Popov Alexey 4
Grabovskis Andris 5
Kronberga Hedviga 6
Geldnere Kristine 7
Doronin Alexander 8
MEGLINSKI IGOR 1, 9, 10, 11
Publication typeJournal Article
Publication date2021-04-01
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor10.6
ISSN02780062, 15580062
Computer Science Applications
Electrical and Electronic Engineering
Radiological and Ultrasound Technology
Software
Abstract
Aging and diabetes lead to protein glycation and cause dysfunction of collagen-containing tissues. The accompanying structural and functional changes of collagen significantly contribute to the development of various pathological malformations affecting the skin, blood vessels, and nerves, causing a number of complications, increasing disability risks and threat to life. In fact, no methods of non-invasive assessment of glycation and associated metabolic processes in biotissues or prediction of possible skin complications, e.g., ulcers, currently exist for endocrinologists and clinical diagnosis. In this publication, utilizing emerging photonics-based technology, innovative solutions in machine learning, and definitive physiological characteristics, we introduce a diagnostic approach capable of evaluating the skin complications of diabetes mellitus at the very earlier stage. The results of the feasibility studies, as well as the actual tests on patients with diabetes and healthy volunteers, clearly show the ability of the approach to differentiate diabetic and control groups. Furthermore, the developed in-house polarization-based hyperspectral imaging technique accomplished with the implementation of the artificial neural network provides new horizons in the study and diagnosis of age-related diseases.

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Dremin V. et al. Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning // IEEE Transactions on Medical Imaging. 2021. Vol. 40. No. 4. pp. 1207-1216.
GOST all authors (up to 50) Copy
Dremin V., Marcinkevics Z., Zherebtsov E., Popov A., Grabovskis A., Kronberga H., Geldnere K., Doronin A., MEGLINSKI I., Bykov A. Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning // IEEE Transactions on Medical Imaging. 2021. Vol. 40. No. 4. pp. 1207-1216.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1109/TMI.2021.3049591
UR - https://doi.org/10.1109%2FTMI.2021.3049591
TI - Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning
T2 - IEEE Transactions on Medical Imaging
AU - Dremin, Viktor
AU - Marcinkevics, Zbignevs
AU - Zherebtsov, Evgeny
AU - Popov, Alexey
AU - Grabovskis, Andris
AU - Kronberga, Hedviga
AU - Geldnere, Kristine
AU - Doronin, Alexander
AU - MEGLINSKI, IGOR
AU - Bykov, Alexander
PY - 2021
DA - 2021/04/01 00:00:00
PB - IEEE
SP - 1207-1216
IS - 4
VL - 40
SN - 0278-0062
SN - 1558-0062
ER -
BibTex |
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BibTex Copy
@article{2021_Dremin,
author = {Viktor Dremin and Zbignevs Marcinkevics and Evgeny Zherebtsov and Alexey Popov and Andris Grabovskis and Hedviga Kronberga and Kristine Geldnere and Alexander Doronin and IGOR MEGLINSKI and Alexander Bykov},
title = {Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning},
journal = {IEEE Transactions on Medical Imaging},
year = {2021},
volume = {40},
publisher = {IEEE},
month = {apr},
url = {https://doi.org/10.1109%2FTMI.2021.3049591},
number = {4},
pages = {1207--1216},
doi = {10.1109/TMI.2021.3049591}
}
MLA
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MLA Copy
Dremin, Viktor, et al. “Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning.” IEEE Transactions on Medical Imaging, vol. 40, no. 4, Apr. 2021, pp. 1207-1216. https://doi.org/10.1109%2FTMI.2021.3049591.
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