Comment on "Quantification of glycated hemoglobin and glucose in vivo using Raman spectroscopy and artificial neural networks"

被引：8

作者：

Bratchenko, Ivan A. ^{[1
]}

Bratchenko, Lyudmila A. ^{[1
]}

机构：

[1] Samara Natl Res Univ, Laser & Biotech Syst Dept, Moskovskoe Shosse 34, Samara 443086, Russia

来源：

LASERS IN MEDICAL SCIENCE | 2022年 / 37卷 / 09期

关键词：

D O I：

10.1007/s10103-022-03650-9

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

引用

页码：3753 / 3754

页数：2

共 13 条

[1] Classification of skin cancer using convolutional neural networks analysis of Raman spectra [J].

Bratchenko, Ivan A. ;

Bratchenko, Lyudmila A. ;

Khristoforova, Yulia A. ;

Moryatov, Alexander A. ;

V. Kozlo, Sergey ;

Zakharo, Valery P. .

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 219

[2]

Bratchenko Ivan A., 2021, [Journal of Biomedical Photonics & Engineering, Journal of Biomedical Photonics & Engineering], V7, P20308, DOI 10.18287/JBPE21.07.020308

[3] In vivo diagnosis of skin cancer with a portable Raman spectroscopic device [J].

Bratchenko, Ivan A. ;

Bratchenko, Lyudmila A. ;

Moryatov, Alexander A. ;

Khristoforova, Yulia A. ;

Artemyev, Dmitry N. ;

Myakinin, Oleg O. ;

Orlov, Andrey E. ;

Kozlov, Sergey V. ;

Zakharov, Valery P. .

EXPERIMENTAL DERMATOLOGY, 2021, 30 (05) :652-663

[4] Comment on ''Combining derivative Raman with autofluorescence to improve the diagnosis performance of echinococcosis" [J].

Bratchenko, Ivan A. ;

Bratchenko, Lyudmila A. .

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2021, 252

[5] Raman spectroscopy of human skin for kidney failure detection [J].

Bratchenko, Lyudmila A. ;

Bratchenko, Ivan A. ;

Khristoforova, Yulia A. ;

Artemyev, Dmitry N. ;

Konovalova, Daria Y. ;

Lebedev, Peter A. ;

Zakharov, Valery P. .

JOURNAL OF BIOPHOTONICS, 2021, 14 (02)

[6] Raman active components of skin cancer [J].

Feng, Xu ;

Moy, Austin J. ;

Nguyen, Hieu T. M. ;

Zhang, Jason ;

Fox, Matthew C. ;

Sebastian, Katherine R. ;

Reichenberg, Jason S. ;

Markey, Mia K. ;

Tunnell, James W. .

BIOMEDICAL OPTICS EXPRESS, 2017, 8 (06) :2835-2850

[7] Quantification of glycated hemoglobin and glucose in vivo using Raman spectroscopy and artificial neural networks [J].

Gonzalez-Viveros, Naara ;

Castro-Ramos, Jorge ;

Gomez-Gil, Pilar ;

Cerecedo-Nunez, Hector Humberto ;

Gutierrez-Delgado, Francisco ;

Torres-Rasgado, Enrique ;

Perez-Fuentes, Ricardo ;

Flores-Guerrero, Jose L. .

LASERS IN MEDICAL SCIENCE, 2022, 37 (09) :3537-3549

[8] Feasibility of Raman spectroscopy as a potential in vivo tool to screen for pre-diabetes and diabetes [J].

Guevara, Edgar ;

Carlos Torres-Galvan, Juan ;

Javier Gonzalez, Francisco ;

Luevano-Contreras, Claudia ;

Cayetano Castillo-Martinez, Claudio ;

Ramirez-Elias, Miguel G. .

JOURNAL OF BIOPHOTONICS, 2022, 15 (09)

[9] Use of Raman spectroscopy to screen diabetes mellitus with machine learning tools [J].

Guevara, Edgar ;

Carlos Torres-Galvan, Juan ;

Ramirez-Elias, Miguel G. ;

Luevano-Contreras, Claudia ;

Javier Gonzalez, Francisco .

BIOMEDICAL OPTICS EXPRESS, 2018, 9 (10) :4998-5010

[10] Direct observation of glucose fingerprint using in vivo Raman spectroscopy [J].

Kang, Jeon Woong ;

Park, Yun Sang ;

Chang, Hojun ;

Lee, Woochang ;

Singh, Surya ;

Choi, Wonjun ;

Galindo, Luis H. ;

Dasari, Ramachandra R. ;

Nam, Sung Hyun ;

Park, Jongae ;

So, Peter T. C. .

SCIENCE ADVANCES, 2020, 6 (04)

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